Bunched yarn spinning method based on timing control of matching specific twist factor with spindle speed
By constructing a correlation model between linear density and twist coefficient, and adjusting the spindle speed to match a specific twist coefficient, the problem of unbalanced twist stress in slub yarn in traditional ring spinning machines was solved, achieving a stable spinning effect for slub yarn.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN JIAYOU INTELLIGENT CONTROL TECH CO LTD
- Filing Date
- 2024-09-27
- Publication Date
- 2026-07-21
AI Technical Summary
When spinning slub yarn, the unbalanced twisting stress of traditional ring spinning machines leads to structural and performance instability. Existing technologies have not been able to effectively solve the problem of matching the twist coefficient accuracy in the transition section between coarse and fine sections.
Based on time-series control of spindle speed, a linear density distribution model and a twist coefficient correlation model are constructed. By adjusting the spindle speed online to match a specific twist coefficient, the twist coefficient is kept constant during spinning, thereby improving the matching accuracy of the twist coefficient in the transition between thick and thin sections.
By precisely controlling the spindle speed, the stability of the twist coefficient and structure of the slub yarn was achieved, thus improving the spinning quality.
Smart Images
Figure CN119020898B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a method for spinning slub yarn by matching the spindle speed with a specific twist coefficient based on time-series control, and belongs to the field of digital ring spinning technology. Background Technology
[0002] Slub yarn is a type of yarn with a unique appearance, characterized by uneven thickness and varying lengths randomly distributed along its length. The random distribution of thick or thin sections gives the fabric a variety of styles and effects, making slub yarn an important type of fancy yarn.
[0003] Traditional ring spinning machines use a collective transmission mode of AC motor-roller-spindle belt-spindle to drive the spinning spindle to rotate and complete the twisting. With this driving method, the spindle is usually driven in a nine-speed regular pattern, and the ratio of spindle speed to front roller linear speed is kept constant. Spinning is carried out in a constant twist mode. This is the spinning mode that has been used since the birth of mechanical ring spinning machines.
[0004] Slub yarn is a type of yarn composed of a series of sequentially distributed thick and thin sections. During the spinning of slub yarn, because its linear density varies randomly, spinning with a constant twist will result in a larger twist coefficient in the thicker sections with higher linear density and a smaller twist coefficient in the thinner sections with lower linear density. Generally, yarn sections with a larger twist coefficient will generate greater twist stress, while those with a smaller twist coefficient will generate less twist stress. This imbalance in twist stress causes the twist to shift from the thicker sections to the thinner sections, resulting in unstable structure and performance of the slub yarn. To solve this problem, it is necessary to adjust the spindle rotation speed based on the variation in linear density to match a constant twist coefficient to the slub yarn.
[0005] In practical applications, due to displacement deviations during the drafting process, a transition section between thick and thin sections is created between the thick sections formed by low-ratio drafting and the thin sections formed by high-ratio drafting. Therefore, the linear density distribution of actually slub yarn differs from that in the theoretical model of slub yarn. Based on the linear density distribution of the thick-thin transition section of slub yarn, a solution remains to be found for how to adjust the spindle speed to vary according to the same pattern, thereby improving the matching accuracy of the specific twist coefficient in the thick-thin transition section. Summary of the Invention
[0006] The technical problem to be solved by the present invention is to provide a method for spinning slub yarn by matching a specific twist coefficient based on time-series control of spindle speed. This method analyzes the distribution law of thick sections, thin sections, base yarn and their transition sections of slub yarn, and controls the spindle speed to change according to the same law, thereby improving the matching accuracy of the specific twist coefficient of the transition section between thick and thin sections.
[0007] To solve the above technical problems, the following technical solution is adopted: This invention designs a slub yarn spinning method based on time-series control of spindle speed to match a specific twist coefficient. Based on the change of yarn linear density, the spindle speed is adjusted online in real time to ensure the twist coefficient of the thick section, thin section, base yarn section and their transition sections of the target slub yarn. The optimal matching is performed according to a specific twist coefficient, and the following steps are executed to obtain the target slub yarn with a specific twist coefficient.
[0008] Step A. Based on the characteristics of the linear density variation of the target slub yarn, it is divided into three types of slub yarn: dense slub yarn with thick sections, dense slub yarn with thin sections, and target slub yarn with a mixture of dense slub yarn with thick sections and dense slub yarn with thin sections. Construct linear density distribution models for the thick sections and base yarn and their transition segments in the dense slub yarn with thick sections, linear density distribution models for the thin sections and base yarn and their transition segments in the dense slub yarn with thin sections, linear density distribution models that simultaneously include both thin and thick sections and their transition segments, and linear density distribution models that express the thick section segment, thin section segment, base yarn segment and their transition segments in the target slub yarn. Then proceed to Step B.
[0009] Step B. Based on the characteristics of thick-section dense slub yarn, and considering the morphological and structural features of each thick-section dense slub yarn, construct a simulation function for the temporal distribution of linear density of the thick section dense slub yarn, expressing the thick section, base yarn, and the transition segments between them; based on the characteristics of thin-section dense slub yarn, and considering the morphological and structural features of each thin-section dense slub yarn, construct a simulation function for the temporal distribution of linear density of the thin section, base yarn, and the transition segments between them; based on the characteristics of the target slub yarn, which is a mixture of thick-section dense slub yarn and thin-section dense slub yarn, and considering the morphological and structural features of the periodic segments of the mixed distribution of each thick-section dense slub yarn and thin-section dense slub yarn, construct a simulation function for the temporal distribution of linear density of the target slub yarn, expressing the thick section, thin section, base yarn, and the transition segments between them, and then proceed to Step C;
[0010] Step C. For the target slub yarn, based on the simulation function of the linear density time-series distribution of dense slub yarn with thick sections, the simulation function of the linear density time-series distribution of dense slub yarn with thin sections, and the simulation function of the linear density time-series distribution of slub yarn with a mixture of thick and thin sections, design the time-series spinning process of the electric spindle spinning machine corresponding to the linear density simulation function of slub yarn with thick and thin sections at different time periods, construct the interrelation model between the simulation function of the linear density time-series distribution of each period segment and the twist coefficient and the spindle speed, and then proceed to step D;
[0011] Step D. Based on the spindle speed and linear density function, construct the time-series distribution function of twist coefficient for each period of the target slub yarn, and based on the time-series distribution simulation function of specific twist coefficient and linear density, obtain the time-series distribution of spindle speed in each period, and then proceed to step E;
[0012] Step E. Construct the time-series distribution function of the linear density of the target slub yarn, and construct the time-series distribution of the spindle rotation speed in each cycle segment of the target slub yarn according to the preset constant twist coefficient, and then perform spindle spinning to obtain the target slub yarn.
[0013] The slub yarn spinning method based on timing-controlled spindle speed matching a specific twist coefficient described in this invention has the following technical advantages compared with existing technologies:
[0014] This invention presents a method for spinning slub yarn based on time-series control of spindle speed to match a specific twist coefficient. First, it constructs linear density distribution models for the thick section, base yarn, and their transition segments; linear density distribution models for the thin section, base yarn, and their transition segments; and a linear density distribution model for the target slub yarn representing the thick section, thin section, base yarn, and their transition segments. Then, it constructs a correlation model between linear density, twist coefficient, and spindle speed, combining the spinning process of thick and thin slub yarn. Finally, aiming to ensure a constant twist coefficient during spinning, it constructs a method for real-time online control of spindle speed based on the time-series changes in linear density. The design analyzes the distribution patterns of the thick section, thin section, base yarn, and their transition segments of the slub yarn, providing a method for precisely controlling the spindle speed online according to the same variation pattern to produce corresponding changes, compensating for the corresponding changes in twist coefficient caused by small changes in linear density, thus improving the matching accuracy of the specific twist coefficient in the thick-thin transition segment. Attached Figure Description
[0015] Figure 1 This is a schematic diagram illustrating the morphological and structural features of the densely packed slub yarn in the design of this invention;
[0016] Figure 2 This is a schematic diagram illustrating the morphological and structural features of the densely detailed slub yarn in the design of this invention;
[0017] Figure 3 This is a schematic diagram illustrating the morphological and structural characteristics of the target slub yarn, which is a mixture of coarse-joint dense slub yarn and fine-joint dense slub yarn in the design of this invention.
[0018] Figure 4 This is a schematic flowchart of the slub yarn spinning method designed in this invention. Detailed Implementation
[0019] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.
[0020] The present invention designs a slub yarn spinning method based on time-series controlled spindle speed matching a specific twist coefficient. This method uses real-time online control of spindle speed changes based on yarn linear density variations to ensure that the twist coefficient of the thicker segments, thinner segments, base yarn segments, and their transition segments in the spun target slub yarn remains constant, i.e., a specific twist coefficient. In practical applications, such as... Figure 4As shown, perform steps A through E to obtain a target slub yarn with a constant twist coefficient.
[0021] Step A. Based on the characteristics of the target slub yarn linear density variation, it is divided into three types of slub yarn: thick-section dense slub yarn, thin-section dense slub yarn, and target slub yarn that is a mixture of thick-section dense slub yarn and thin-section dense slub yarn. Specifically, the following steps are performed: construct the linear density distribution function of the transition segment between the thick section and the base yarn in the thick-section dense slub yarn, the linear density distribution function of the transition segment between the thin section and the base yarn in the thin-section dense slub yarn, and the linear density distribution model of the target slub yarn that expresses the thick section segment, the thin section segment, the base yarn segment, and the transition segments between them, and then proceed to Step B.
[0022] Due to the free stretching characteristics of the rear roller, the change in linear density of the transition section has a certain degree of randomness. Assuming that the change in linear density of the transition section follows a linear pattern, the above step A is specifically executed as steps A1 to A3.
[0023] Step A1. Figure 1 As shown, the linear density distribution model of the dense slub yarn in each thick section is constructed as follows:
[0024]
[0025] in, This indicates the length of the base yarn segment in each densely packed slub yarn section. Indicates the spinning time. Indicates linear density. L represents the length corresponding to the thick segment. C This indicates the sum of the lengths of the densely packed slub yarns in each thick section. Indicates the spinning time. Indicates linear density. This indicates the length corresponding to the transition section from the base yarn to the thicker section. Indicates the spinning time. This indicates the length corresponding to the transition section from the thicker section to the base yarn. Indicates the spinning time, and ξ c =1,2,...,m c -1,m c m c ξ represents the number of densely packed slub yarns. c Indicates the ξth c A thick, densely packed bamboo-joint yarn. This indicates the positions of all points, including the start and end points, after the transition segment is divided into three equal parts. Indicates the ξth c In the thick-jointed dense slub yarn, from the base yarn to the thick-joint transition section, from the starting point to the... The distance between points Indicates the ξth cIn the thick section of the densely packed slub yarn, on the transition section from the thick section to the base yarn, from the starting point to the... The distance between points.
[0026] Step A2. Figure 2 As shown, the linear density distribution model of each densely packed slub yarn is constructed as follows:
[0027]
[0028] in, This indicates the length of the base yarn segment in each densely packed slub yarn. Indicates the spinning time. Indicates linear density. L represents the length of the detail segment. X This indicates the sum of the lengths of the densely packed slub yarns in each thick section. Indicates the spinning time. Indicates linear density. This indicates the length corresponding to the transition section from the base yarn to the detail yarn. Indicates the spinning time. This indicates the length corresponding to the transition section from the detail yarn to the base yarn. Indicates the spinning time, and ξ x =1,2,...,m x -1,m x m x ξ indicates the number of densely packed slub yarns with fine details. x Indicates the ξth x The intricate details of the bamboo-joint yarn... Indicates the ξth x In the densely detailed slub yarn, from the starting point to the transition section between the base yarn and the detail yarn, from the beginning to the... The distance between points Indicates the ξth x The densely detailed slub yarn transitions from the starting point to the base yarn section, where the details are concentrated. The distance between points.
[0029] Step A3. Construct the linear density distribution model of the target slub yarn as follows:
[0030]
[0031] L represents the total length of the target slub yarn.
[0032] Step B. Based on the characteristics of thick-section dense slub yarn, and considering the morphological and structural features of each thick-section dense slub yarn, construct a simulation function for the temporal distribution of linear density of the thick section, base yarn, and transition section of the thick-section dense slub yarn; based on the characteristics of thin-section dense slub yarn, and considering the morphological and structural features of each thin-section dense slub yarn, construct a simulation function for the temporal distribution of linear density of the thin-section, base yarn, and transition section of the thin-section dense slub yarn; based on the characteristics of the target slub yarn, which is a mixture of thick-section dense slub yarn and thin-section dense slub yarn, and considering the morphological and structural features of the periodic segments of the mixed distribution of each thick-section dense slub yarn and thin-section dense slub yarn, construct a simulation function for the temporal distribution of linear density of the target slub yarn, which is a mixture of thick-section dense slub yarn and thin-section dense slub yarn, and then proceed to Step C.
[0033] In practical applications, step B above is specifically executed as steps B1 to B4.
[0034] Step B1. As Figure 1 As shown, based on the dense slub yarn with thick sections, which sequentially includes the base yarn segment, the base yarn to thick section transition segment, the thick section segment, and the thick section to base yarn transition segment, the temporal distribution t1, t2, t3, and t4 of each segment in each dense slub yarn with thick sections are constructed as follows:
[0035]
[0036] The time-series simulation function for the linear density distribution of dense slub yarns in each thick section is further constructed as follows:
[0037]
[0038] in, Indicates the ξth c Simulation function of linear density time distribution of base yarn segment in a dense slub yarn with thick sections. Indicates the ξth c Simulation function of linear density time-series distribution in the transition section from base yarn to thick section in a dense slub yarn with thick sections. Indicates the ξth c Simulation function of linear density time-series distribution in coarse segments of densely packed slub yarn. Indicates the ξth c The simulation function of the linear density time-series distribution in the transition section from the thickest part to the base yarn in a densely packed thick-part yarn, v q (t) represents the time-series distribution of the pre-roller velocity, v z (t) represents the time-series distribution of the mid-roller velocity, v h1 (t) represents the time sequence distribution of the first back roller speed, ρ1 represents the linear density of the first roving fed by the first back roller, and ρ2 represents the linear density of the second roving fed by the second back roller. Indicates the ξth c In the thick-jointed dense slub yarn, from the base yarn to the thick-joint transition section, from the starting point to the... Spinning time at each point. Indicates the ξth c In the thick section of the densely packed slub yarn, on the transition section from the thick section to the base yarn, from the starting point to the... Spinning time at each point.
[0039] At the same time, such as Figure 2 As shown, based on the densely detailed slub yarn, which sequentially includes the base yarn segment, the base yarn to detail transition segment, the detail segment, and the detail to base yarn transition segment, the temporal distributions t5, t6, t7, and t8 of each segment in each densely detailed slub yarn are constructed as follows:
[0040]
[0041] The time-series simulation function for the linear density distribution of densely packed slub yarns is further constructed as follows:
[0042]
[0043] in, Indicates the ξth x Simulation function of linear density time distribution of base yarn segment in densely detailed slub yarn. Indicates the ξth x Simulation function of linear density time-series distribution in the transition section from base yarn to detail in a densely detailed slub yarn. Indicates the ξth x Simulation function of linear density temporal distribution of detail segments in densely detailed slub yarn. Indicates the ξth x Simulation function of linear density time-series distribution in the transition section from detail to base yarn in a densely detailed slub yarn. Indicates the ξth x In the densely detailed slub yarn, from the starting point to the transition section between the base yarn and the detail yarn, from the beginning to the... Spinning time at each point. Indicates the ξth x The densely detailed slub yarn transitions from the starting point to the base yarn section, where the details are concentrated. Spinning time at each point.
[0044] Step B2. Based on the number m of thick-joint dense slub yarns c Equal to the number of densely packed slub yarns in m x For target slub yarns that are a mixture of coarse-joint dense slub yarns and fine-joint dense slub yarns, such as Figure 3 As shown, based on the periodic segments corresponding to the target slub yarn, which sequentially include the base yarn segment, the base yarn to thick section transition segment, the thick section segment, the thick section to base yarn transition segment, the base yarn segment, the base yarn to thin section transition segment, the thin section segment, and the thin section to base yarn transition segment, by combining formulas (8) and (10), the time sequence distributions t1, t2, t3, t4, t5, t6, t7, and t8 of each periodic segment corresponding to the target slub yarn are as follows:
[0045]
[0046] Step B3. Construct the spinning time and T model corresponding to the target slub yarn as follows:
[0047]
[0048] Among them, T C T represents the spinning time and model of each thick section of dense slub yarn. x This indicates the spinning time and model of densely packed slub yarn with various details.
[0049] Step B4. Combining formulas (9) and (11), the time-series distribution simulation function of linear density for each period corresponding to the target slub yarn is constructed as follows:
[0050]
[0051] Step C. For the target slub yarn, based on the linear density time-series distribution simulation function of the dense slub yarn with thick sections, the linear density time-series distribution simulation function of the dense slub yarn with thin sections, and the linear density time-series distribution simulation function of the mixed thick and thin slub yarn, design the time-series spinning process of the electric spindle spinning machine corresponding to the linear density simulation function of the slub yarn with thick and thin sections at different time periods, construct the correlation model between the linear density time-series distribution simulation function of each cycle segment and the twist coefficient and the spindle speed, and then proceed to step D.
[0052] In practical applications, step C above is specifically executed as steps C1 to C8.
[0053] Step C1. Design initial conditions:
[0054] Based on m c =m x =m、ξ c =ξ x =ξ, for the target slub yarn that is a mixture of thick and thin dense slub yarns, the linear density time sequence distribution simulation function and twist coefficient correlation model are constructed as follows for the spinning processes of the base yarn segment, the base yarn to thick transition segment, the thick segment, the thick transition segment to base yarn, the base yarn to thin transition segment, the thin segment, and the thin transition segment to base yarn, respectively; ξ represents the ξ-th period segment in the target slub yarn.
[0055] Step C2. Design the base yarn spinning process:
[0056] Draft ratio:
[0057] Linear density:
[0058] Twist: N jξ (t)=n sjξ (t) / v q (t)(17)
[0059] Twist coefficient:
[0060] Among them, E 1jξ (t), E 2jξ (t), E 3jξ (t) represents the time series distribution of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the base yarn segment in the ξ-th periodic segment of the target slub yarn, respectively. ρ jξ (t) represents the temporal distribution of linear density of the base yarn segment in the ξ-th periodic segment of the target slub yarn, v h3 (t) represents the temporal distribution of the speed of the third back roller, ρ3 represents the linear density of the third roving fed into the third back roller, and n sjξ (t) represents the time-series distribution of the spindle rotation speed corresponding to the base yarn segment in the ξ-th period of the target slub yarn, N jξ (t) represents the temporal distribution of twist of the base yarn segment in the ξ-th periodic segment of the target slub yarn, α jξ (t) represents the temporal distribution of the twist coefficient of the base yarn segment in the ξth period of the target slub yarn.
[0061] Step C3. Design the spinning process for the transition section from the base yarn to the thicker section:
[0062] Draft ratio:
[0063] Linear density:
[0064] Twist: N (j-c)ξ (t)=n s(j-c)ξ (t) / v q (t)(21)
[0065] Twist coefficient:
[0066] Among them, E 1(j-c)ξ (t), E 2(j-c)ξ (t), E 3(j-c)ξ (t) represents the temporal distribution of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the transition segment from the base yarn to the roving in the ξ-th periodic segment of the target slub yarn, respectively. Δρ (j-c)ξ (t) represents the temporal distribution of the linear density change from the base yarn to the thicker section in the ξ-th period of the target slub yarn, ρ (j-c)ξ (t) represents the temporal distribution of linear density in the transition segment from the base yarn to the thicker section in the ξ-th period of the target slub yarn, where ns(j-c)ξ (t) represents the time-series distribution of the spindle rotation speed corresponding to the transition section from the base yarn to the thicker section in the ξth cycle segment of the target slub yarn, where N is the spindle rotation speed. (j-c)ξ (t) represents the temporal distribution of twist corresponding to the transition segment from the base yarn to the thicker section in the ξ-th periodic segment of the target slub yarn, α (j-c)ξ (t) represents the temporal distribution of the twist coefficient corresponding to the transition section from the base yarn to the thicker section in the ξth period of the target slub yarn.
[0067] Step C4. Design the coarse-section spinning process:
[0068] Draft ratio:
[0069] Linear density:
[0070] Twist: N cξ (t)=n scξ (t) / v q (t)(25)
[0071] Twist coefficient:
[0072] Among them, E 1cξ (t), E 2cξ (t), E 3cξ (t) represents the time series distribution of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the coarse segment in the ξ-th period of the target slub yarn, respectively. ρ cξ (t) represents the temporal distribution of linear density of the coarse segments in the ξ-th period of the target slub yarn, n scξ (t) represents the time-series distribution of the spindle rotation speed corresponding to the coarse section in the ξ-th period of the target slub yarn, N cξ (t) represents the temporal distribution of twist corresponding to the coarse segment in the ξ-th periodic segment of the target slub yarn, α cξ (t) represents the temporal distribution of the twist coefficient corresponding to the coarse segment in the ξ-th periodic segment of the target slub yarn.
[0073] Step C5. Design the spinning process for the transition section from the thicker section to the base yarn:
[0074] Draft ratio:
[0075] Linear density:
[0076] Twist: N (c-j)ξ (t)=n s(c-j)ξ (t) / v q (t) (29)
[0077] Twist coefficient:
[0078] Among them, E 1(c-j)ξ (t), E 2(c-j)ξ (t), E 3(c-j)ξ (t) represents the temporal distribution of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio in the transition segment from the thick section to the base yarn in the ξ-th periodic segment of the target slub yarn, respectively. Δρ (c-j)ξ (t) represents the temporal distribution of linear density variation in the transition segment from the thicker section to the base yarn in the ξ-th periodic segment of the target slub yarn, ρ (c-j)ξ (t) represents the temporal distribution of linear density in the transition segment from the thicker section to the base yarn in the ξ-th periodic segment of the target slub yarn, n s(c-j)ξ (t) represents the time-series distribution of spindle rotation speed corresponding to the transition section from the thick section to the base yarn in the ξ-th cycle segment of the target slub yarn, where N (c-j)ξ (t) represents the temporal distribution of twist corresponding to the transition segment from the thick section to the base yarn in the ξth periodic segment of the target slub yarn; α (c-j)ξ (t) represents the temporal distribution of the twist coefficient corresponding to the transition section from the thick section to the base yarn in the ξth period of the target slub yarn.
[0079] Step C6. Design the spinning process for the transition from base yarn to detail yarn:
[0080] Draft ratio:
[0081] Linear density:
[0082] Twist: N (j-x)ξ (t)=n s(j-x)ξ (t) / v q (t) (33)
[0083] Twist coefficient:
[0084] Among them, E 1(j-x)ξ (t), E 2(j-x)ξ (t), E 3(j-x)ξ (t) represents the temporal distribution of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the transition from the base yarn to the detail yarn in the ξ-th periodic segment of the target slub yarn, respectively. Δρ (j-x)ξ (t) represents the temporal distribution of the linear density change from the base yarn to the detail transition section in the ξ-th periodic segment of the target slub yarn, ρ (j-x)ξ (t) represents the temporal distribution of linear density from the base yarn to the detail transition segment in the ξ-th periodic segment of the target slub yarn, where n s(j-x)ξ (t) represents the time-series distribution of spindle rotation speed corresponding to the transition from base yarn to detail in the ξ-th periodic segment of the target slub yarn, where N is the spindle rotation speed. (j-x)ξ (t) represents the twist time sequence distribution corresponding to the transition segment from the base yarn to the detail yarn in the ξth periodic segment of the target slub yarn, α(j-x)ξ (t) represents the temporal distribution of the twist coefficient corresponding to the transition from the base yarn to the detail yarn in the ξth period of the target slub yarn.
[0085] Step C7. Design detailed spinning process:
[0086] Draft ratio:
[0087] Linear density:
[0088] Twist: N xξ (t)=n sxξ (t) / v q (t)(37)
[0089] Twist coefficient:
[0090] Among them, E 1xξ (t), E 2xξ (t), E 3xξ (t) represents the time series distribution of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the detail segment in the ξ-th periodic segment of the target slub yarn, respectively. sxξ (t) represents the time-series distribution of the spindle rotation speed corresponding to the detail segment in the ξ-th period segment of the target slub yarn, ρ xξ (t) represents the temporal distribution of linear density of detail segments in the ξ-th periodic segment of the target slub yarn, N xξ (t) represents the twist time sequence distribution of the detail segment in the ξ-th periodic segment of the target slub yarn, α xξ (t) represents the temporal distribution of the twist coefficient corresponding to the detail segment in the ξ-th periodic segment of the target slub yarn.
[0091] Step C8. Design details to the spinning process of the base yarn transition section:
[0092] Draft ratio:
[0093] Linear density:
[0094] Twist: N (x-j)ξ (t)=n s(x-j)ξ (t) / v q (t) (41)
[0095] Twist coefficient:
[0096] Among them, E 1(x-j)ξ (t), E 2(x-j)ξ (t), E 3(x-j)ξ(t) represents the time sequence distribution of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the transition segment from the detail to the base yarn in the ξ-th periodic segment of the target slub yarn, respectively. Δρ (x-j)ξ (t) represents the temporal distribution of linear density variation from detail to base yarn in the ξ-th periodic segment of the target slub yarn, ρ (x-j)ξ (t) represents the temporal distribution of linear density in the transition segment from detail to base yarn in the ξ-th periodic segment of the target slub yarn, where n s(x-j)ξ (t) represents the time-series distribution of spindle rotation speed corresponding to the transition segment from detail to base yarn in the ξ-th periodic segment of the target slub yarn, where N (x-j)ξ (t) represents the twist time sequence distribution corresponding to the transition segment from detail to base yarn in the ξth periodic segment of the target slub yarn; α (x-j)ξ (t) represents the temporal distribution of the twist coefficient corresponding to the transition section from the detail to the base yarn in the ξth periodic segment of the target slub yarn.
[0097] Step D. Based on the spindle speed and linear density function, construct the time-series distribution function of twist coefficient for each period of the target slub yarn, and based on the time-series distribution simulation function of specific twist coefficient and linear density, obtain the time-series distribution of spindle speed in each period, and then proceed to step E.
[0098] In practical applications, step D above is specifically executed as follows: steps D1 to D2.
[0099] Step D1. Construct the time-series distribution function of the twist coefficient of the target slub yarn in each period:
[0100] Based on the spindle rotation speed and linear density function, and the corresponding periodic segments of the target slub yarn including the base yarn segment, the base yarn to thick section transition segment, the thick section segment, the thick section to base yarn transition segment, the base yarn segment, the base yarn to thin section transition segment, the thin section segment, and the thin section to base yarn transition segment, the twist coefficient time sequence distribution function of each periodic segment of the target slub yarn is constructed as follows using formulas (18), (22), (26), (30), (34), (38), and (42):
[0101]
[0102] Step D2. Construct the time-series distribution function of the spindle rotation speed for each cycle segment of the target slub yarn:
[0103] Further, based on the simulation function of specific twist coefficient and linear density time distribution, the time distribution of the ingot rotation speed in each period segment is obtained by formula (17), (18), (21), (22), (25), (26), (29), (30), (33), (34), (37), (38), (41), (42) as follows:
[0104]
[0105] Step E. Construct the time-series distribution function of the target slub yarn density, and based on the preset twist coefficient constant α cr The timing distribution of spindle rotation speed in each cycle segment of the target slub yarn is constructed, and then the spindle spinning is performed to obtain the target slub yarn.
[0106] In practical applications, step E above is specifically executed as steps E1 to E2.
[0107] Step E1. Construct the time-series distribution function of the target slub yarn density as follows:
[0108]
[0109] Step E2. Construct the time-series distribution function of the spindle rotation speed in each cycle segment of the target slub yarn:
[0110] Based on the target slub yarn, the corresponding periodic segments sequentially include the base yarn segment, the base yarn to thick section transition segment, the thick section segment, the thick section to base yarn transition segment, the base yarn segment, the base yarn to thin section transition segment, the thin section segment, and the thin section to base yarn transition segment, according to the preset twist coefficient constant α. cr The time sequence distribution of spindle rotation speed in each cycle segment of the target slub yarn is as follows:
[0111]
[0112] Then, electrospinning is performed to obtain the target slub yarn.
[0113] The above-mentioned technical solution designs a slub yarn spinning method based on time-series control of spindle speed to match a specific twist coefficient. First, it constructs linear density distribution models including the thick section, base yarn, and their transition segments; linear density distribution models including the thin section, base yarn, and their transition segments; and a linear density distribution model representing the target slub yarn, expressing the thick section, thin section, base yarn, and their transition segments. Then, it constructs a correlation model of linear density, twist coefficient, and spindle speed in conjunction with the thick and thin slub yarn spinning process. Finally, aiming to ensure a constant twist coefficient during spinning, it constructs a method for real-time online control of spindle speed based on the time-series changes in linear density. The design analyzes the distribution patterns of the thick section, thin section, base yarn, and their transition segments of the slub yarn, and provides a method for precisely controlling the spindle speed online according to the same change pattern to produce corresponding changes, compensating for the corresponding changes in twist coefficient caused by small changes in linear density, thus improving the matching accuracy of the specific twist coefficient in the thick-thin transition segment.
[0114] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.
Claims
1. A method for spinning slub yarn based on timing-controlled spindle speed matching a specific twist coefficient, characterized in that: Based on the real-time online control of the spindle speed change based on the linear density change of the shaped yarn, it is possible to match the specific twist coefficient for the thick section, thin section, base yarn section and the transition section between them of the target spun slub yarn. The following steps are performed to obtain the target slub yarn with a time-sequential matching specific twist coefficient. Step A. Based on the characteristics of the target slub yarn linear density variation, it is divided into three types of target slub yarn: thick-section dense slub yarn, thin-section dense slub yarn, and a mixture of thick-section dense slub yarn and thin-section dense slub yarn. A linear density distribution model of the thick section and base yarn and their transition segments in the thick-section dense slub yarn, a linear density distribution model of the thin section and base yarn and their transition segments in the thin-section dense slub yarn, and a linear density distribution model of the target slub yarn expressing the thick section segment, thin section segment, base yarn segment and their transition segments are constructed. Then proceed to Step B. Step B. Based on the characteristics of thick-section dense slub yarn, and considering the morphological and structural features of each thick-section dense slub yarn, construct a simulation function for the temporal distribution of linear density of the thick section dense slub yarn, expressing the thick section, base yarn, and the transition segments between them; based on the characteristics of thin-section dense slub yarn, and considering the morphological and structural features of each thin-section dense slub yarn, construct a simulation function for the temporal distribution of linear density of the thin section, base yarn, and the transition segments between them; based on the characteristics of the target slub yarn, which is a mixture of thick-section dense slub yarn and thin-section dense slub yarn, and considering the morphological and structural features of the periodic segments of the mixed distribution of each thick-section dense slub yarn and thin-section dense slub yarn, construct a simulation function for the temporal distribution of linear density of the target slub yarn, expressing the thick section, thin section, base yarn, and the transition segments between them, and then proceed to Step C; Step C. For the target slub yarn, based on the simulation function of linear density time sequence distribution of dense slub yarn with thick sections, the simulation function of linear density time sequence distribution of dense slub yarn with thin sections, and the simulation function of linear density time sequence distribution of mixed thick and thin slub yarn, design the time sequence spinning process of the electric spindle spinning machine corresponding to the linear density simulation function of slub yarn with thick and thin sections at different time periods, construct the correlation model between the simulation function of linear density time sequence distribution of each period segment and the twist coefficient and the spindle speed, and then proceed to step D; Step D. Based on the spindle speed and linear density function, construct the time-series distribution function of twist coefficient for each period of the target slub yarn, and based on the time-series distribution simulation function of specific twist coefficient and linear density, obtain the time-series distribution of spindle speed in each period, and then proceed to step E; Step E. Construct the time-series distribution function of the target slub yarn density, and based on the preset constant twist coefficient... The timing distribution of spindle rotation speed in each cycle segment of the target slub yarn is constructed, and then the spindle spinning is performed to obtain the target slub yarn.
2. The method for spinning slub yarn based on timing-controlled spindle speed matching a specific twist coefficient according to claim 1, characterized in that, Step A includes steps A1 to A3; Step A1. Construct the linear density distribution model of each thick section of dense slub yarn as follows: (1)； (2)； (3)； in, This indicates the length of the base yarn segment in each densely packed slub yarn section. Indicates the spinning time. Indicates linear density. Indicates the length corresponding to the thick segment. This indicates the sum of the lengths of the densely packed slub yarns in each thick section. Indicates the spinning time. Indicates linear density. This indicates the length corresponding to the transition section from the base yarn to the thicker section. Indicates the spinning time. This indicates the length corresponding to the transition section from the thicker section to the base yarn. Indicates the spinning time, and , Indicates the number of densely packed slub yarns. Indicates the first A thick, densely packed bamboo-joint yarn. , This indicates the positions of all points, including the start and end points, after the transition segment is divided into three equal parts. Indicates the first In the thick-jointed dense slub yarn, from the base yarn to the thick-joint transition section, from the starting point to the... The distance between points Indicates the first In the thick section of the densely packed slub yarn, on the transition section from the thick section to the base yarn, from the starting point to the... The distance between points; Step A2. Construct the linear density distribution model of each densely packed slub yarn as follows: (4)； (5)； (6)； in, This indicates the length of the base yarn segment in each densely packed slub yarn. Indicates the spinning time. Indicates linear density. This indicates the length of the detail segment. This indicates the sum of the lengths of the densely packed slub yarns in each thick section. Indicates the spinning time. Indicates linear density. This indicates the length corresponding to the transition section from the base yarn to the detail yarn. Indicates the spinning time. This indicates the length corresponding to the transition section from the detail yarn to the base yarn. Indicates the spinning time, and , This indicates the quantity of densely detailed slub yarn. Indicates the first The intricate details of the bamboo-joint yarn... Indicates the first In the densely detailed slub yarn, from the starting point to the transition section between the base yarn and the detail yarn, from the beginning to the... The distance between points Indicates the first The densely detailed slub yarn transitions from the starting point to the base yarn section, where the details are concentrated. The distance between points; Step A3. Construct a linear density distribution model for the target slub yarn.
3. The method for spinning slub yarn based on timing-controlled spindle speed matching a specific twist coefficient according to claim 2, characterized in that: Step B includes steps B1 to B4; Step B1. Based on the thick-section dense slub yarn, which sequentially includes the base yarn segment, the base yarn to thick section transition segment, the thick section segment, and the thick section to base yarn transition segment, construct the temporal distribution of each segment in each thick-section dense slub yarn. , , , as follows: (8)； The time-series simulation function for the linear density distribution of dense slub yarns in each thick section is further constructed as follows: (9)； in, Indicates the first Simulation function of linear density time-series distribution of base yarn segment in a dense slub yarn with thick sections. Indicates the first Simulation function of linear density time-series distribution in the transition section from base yarn to thick section in a dense slub yarn with thick sections. Indicates the first Simulation function of linear density time-series distribution in coarse segments of densely packed slub yarn. Indicates the first Simulation function of linear density time-series distribution in the transition section from the thickest part to the base yarn of a densely packed thick-part slub yarn. This represents the temporal distribution of the front roller velocity. This represents the time-series distribution of the mid-roller velocity. This represents the temporal distribution of the first and subsequent roller velocities. This indicates the linear density of the first roving fed into the first rear roller. This indicates the linear density of the second roving fed into the second roller. Indicates the first In the thick-jointed dense slub yarn, from the base yarn to the thick-joint transition section, from the starting point to the... Spinning time at each point. Indicates the first In the thick section of the densely packed slub yarn, on the transition section from the thick section to the base yarn, from the starting point to the... Spinning time at each point; Meanwhile, based on the fact that densely detailed slub yarns sequentially include base yarn segment, base yarn to detail transition segment, detail segment, and detail to base yarn transition segment, the temporal distribution of each segment in each densely detailed slub yarn is constructed. , , , as follows: (10)； The time-series simulation function for the linear density distribution of densely packed slub yarns is further constructed as follows: (11)； in, Indicates the first Simulation function of linear density time distribution of base yarn segment in densely detailed slub yarn. Indicates the first Simulation function of linear density time-series distribution in the transition section from base yarn to detail in a densely detailed slub yarn. Indicates the first Simulation function of linear density temporal distribution of detail segments in densely detailed slub yarn. Indicates the first Simulation function of linear density time-series distribution in the transition section from detail to base yarn in a densely detailed slub yarn. Indicates the first In the densely detailed slub yarn, from the starting point to the transition section between the base yarn and the detail yarn, from the beginning to the... Spinning time at each point. Indicates the first The densely detailed slub yarn transitions from the starting point to the base yarn section, where the details are concentrated. Spinning time at each point; Step B2. Based on the number of thick-jointed, densely packed slub yarns Equal to the number of densely detailed slub yarns For a target slub yarn that is a mixture of dense thick and dense thin slub yarns, based on the fact that the periodic segments corresponding to the target slub yarn successively include the base yarn segment, the base yarn to thick transition segment, the thick segment, the thick to base yarn transition segment, the base yarn segment, the base yarn to thin transition segment, the thin segment, and the thin to base yarn transition segment, formulas (8) and (10) are combined to form the temporal distribution of each segment in each periodic segment corresponding to the target slub yarn. , , , , , , , as follows: (12)； Step B3. Construct the spinning time corresponding to the target slub yarn The model is as follows: (13）； in, This indicates the spinning time and model for each thick section of dense slub yarn. A model indicating the spinning time and pattern of densely packed slub yarn with various details; Step B4. Combining formulas (9) and (11), construct the simulation function of the linear density time series distribution of each period segment corresponding to the target slub yarn as follows: (14)。 4. The method for spinning slub yarn based on timing-controlled spindle speed matching a specific twist coefficient according to claim 3, characterized in that, Step C includes steps C1 to C8; Step C1. Design initial conditions: set up , For target slub yarns that are a mixture of thick-joint dense slub yarns and thin-joint dense slub yarns, a model relating the linear density time-series distribution simulation function to the twist coefficient is constructed for the spinning processes of the base yarn section, the base yarn to thick-joint transition section, the thick-joint section, the thick-joint to base yarn transition section, the base yarn to thin-joint transition section, the thin-joint section, and the thin-joint to base yarn transition section, respectively. Indicates the first of the target slub yarn Each periodic segment; Step C2. Design the base yarn spinning process: Draft ratio: (15); Linear density: (16); Twist: (17); Twist coefficient: (18); in, , , The target slub yarn is represented sequentially. The time-series distribution of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the base yarn segment in each periodic segment. Indicates the target slub yarn. The temporal distribution of linear density of the base yarn segment in each periodic segment. This represents the temporal distribution of the third roller velocity. This indicates the linear density of the third roving fed into the third roller. Indicates the target slub yarn. The temporal distribution of spindle rotation speed corresponding to the base yarn segment in each cycle segment. Indicates the target slub yarn. The temporal distribution of twist in the base yarn segment within each periodic segment. Indicates the target slub yarn. The temporal distribution of the twist coefficient of the base yarn segment in each periodic segment; Step C3. Design the spinning process for the transition section from the base yarn to the thicker section: Draft ratio: (19); Linear density: (20); Twist: (twenty one); Twist coefficient: (twenty two); in, , , The target slub yarn is represented sequentially. The time-series distributions of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the transition section from the base yarn to the roving in each periodic segment. Indicates the target slub yarn. The temporal distribution of linear density changes in the transition section from the base yarn to the thicker section within each periodic segment. Indicates the target slub yarn. Temporal distribution of linear density in the transition section from base yarn to thicker yarn within each periodic segment. Indicates the target slub yarn. The temporal distribution of spindle rotation speeds in the transition section from the base yarn to the thicker section within each cycle segment. Indicates the target slub yarn. The temporal distribution of twist in the transition section from the base yarn to the thicker section within each periodic segment. Indicates the target slub yarn. The temporal distribution of twist coefficients corresponding to the transition section from base yarn to thicker section in each periodic segment; Step C4. Design the coarse-section spinning process: Draft ratio: (twenty three); Linear density: (twenty four); Twist: (25); Twist coefficient: (26); in, , , The target slub yarn is represented sequentially. The time-series distributions of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the coarse segments in each periodic segment. Indicates the target slub yarn. Temporal distribution of linear density of coarse segments in each periodic segment Indicates the target slub yarn. The temporal distribution of the ingot rotation speed corresponding to the coarse segment in each periodic segment Indicates the target slub yarn. The temporal distribution of twist corresponding to the coarse segments in each periodic segment. This indicates the target slub yarn. Temporal distribution of twist coefficients corresponding to coarse segments in each periodic segment; Step C5. Design the spinning process for the transition section from the thicker section to the base yarn: Draft ratio: (27); Linear density: (28); Twist: (29); Twist coefficient: (30); in, , , The target slub yarn is represented in sequence. The time-series distributions of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the transition section from the thicker section to the base yarn in each periodic segment. Indicates the target slub yarn. The temporal distribution of linear density changes in the transition section from the thicker section to the base yarn within each periodic segment. Indicates the target slub yarn. Temporal distribution of linear density in the transition section from the thicker section to the base yarn within each periodic segment. Indicates the target slub yarn. The temporal distribution of spindle rotation speeds in the transition section from the thicker section to the base yarn within each cycle segment. Indicates the target slub yarn. The twist time sequence distribution corresponding to the transition section from the thick section to the base yarn in each periodic segment; Indicates the target slub yarn. The temporal distribution of twist coefficients corresponding to the transition section from the thicker section to the base yarn in each periodic segment; Step C6. Design the spinning process for the transition from base yarn to detail yarn: Draft ratio: (31); Linear density: (32); Twist: (33); Twist coefficient: (34); in, , , The target slub yarn is represented sequentially. The time-series distribution of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the transition from base yarn to fine yarn in each periodic segment. Indicates the target slub yarn. The temporal distribution of linear density changes from the base yarn to the detail yarn transition section within each periodic segment. Indicates the target slub yarn. Temporal distribution of linear density from base yarn to detail yarn in each periodic segment. Indicates the target slub yarn. The temporal distribution of spindle rotation speeds corresponding to the transition from base yarn to fine yarn in each cycle segment. Indicates the target slub yarn. The twist time sequence distribution corresponding to the transition from base yarn to detail yarn in each periodic segment. Indicates the target slub yarn. The temporal distribution of twist coefficients corresponding to the transition from base yarn to detail yarn in each periodic segment; Step C7. Design detailed spinning process: Draft ratio: (35); Linear density: (36); Twist: (37); Twist coefficient: (38); in, , , The target slub yarn is represented sequentially. The time series distributions of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the detailed segments within each periodic segment. Indicates the target slub yarn. The time-series distribution of ingot rotation speed corresponding to detailed segments within each period segment. Indicates the target slub yarn. Temporal distribution of line density in detail segments within each periodic segment Indicates the target slub yarn. Twist timing distribution corresponding to detail segments within each periodic segment. This indicates the target slub yarn. The temporal distribution of twist coefficients corresponding to detail segments in each periodic segment; Step C8. Design details to the spinning process of the base yarn transition section: Draft ratio: (39); Linear density: (40); Twist: (41); Twist coefficient: (42); in, , , The target slub yarn is represented sequentially. The time-series distributions of the first roving draft ratio, the second roving draft ratio, and the third roving draft ratio corresponding to the transition from detail to base yarn in each periodic segment. Indicates the target slub yarn. The temporal distribution of linear density changes from detail to base yarn transition in each periodic segment. Indicates the target slub yarn. The temporal distribution of linear density from detail to base yarn transition in each periodic segment. Indicates the target slub yarn. The timing distribution of spindle rotation speed in each cycle segment, corresponding to the transition from the detail to the base yarn. Indicates the target slub yarn. The twist time sequence distribution corresponding to the transition from details to base yarn in each periodic segment; Indicates the target slub yarn. The temporal distribution of twist coefficients corresponding to the transition from details to base yarn in each periodic segment.
5. The method for spinning slub yarn based on timing-controlled spindle speed matching a specific twist coefficient according to claim 4, characterized in that: Step D includes steps D1 to D2; Step D1. Construct the time-series distribution function of the twist coefficient of the target slub yarn in each period: Based on the spindle rotation speed and linear density function, and the corresponding periodic segments of the target slub yarn including the base yarn segment, the base yarn to thick section transition segment, the thick section segment, the thick section to base yarn transition segment, the base yarn segment, the base yarn to thin section transition segment, the thin section segment, and the thin section to base yarn transition segment, the twist coefficient time sequence distribution function of each periodic segment of the target slub yarn is constructed as follows using formulas (18), (22), (26), (30), (34), (38), and (42): (43)； Step D2. Construct the time-series distribution function of the spindle rotation speed for each cycle segment of the target slub yarn: Further, based on the simulation function of specific twist coefficient and linear density time distribution, the time distribution of the ingot rotation speed in each period segment is obtained by formula (17), (18), (21), (22), (25), (26), (29), (30), (33), (34), (37), (38), (41), (42) as follows: (44)。 6. The method for spinning slub yarn based on timing-controlled spindle speed matching a specific twist coefficient according to claim 5, characterized in that: Step E includes steps E1 to E2; Step E1. Construct the time-series distribution function of the target slub yarn density as follows: (45)； Step E2. Construct the time-series distribution function of the spindle rotation speed in each cycle segment of the target slub yarn: Based on the target slub yarn, the corresponding periodic segments sequentially include the base yarn segment, the base yarn to thick section transition segment, the thick section segment, the thick section to base yarn transition segment, the base yarn segment, the base yarn to thin section transition segment, the thin section segment, and the thin section to base yarn transition segment, according to a preset constant twist coefficient. The time sequence distribution of spindle rotation speed in each cycle segment of the target slub yarn is as follows: (46)； Then, electrospinning is performed to obtain the target slub yarn.