Integrated stove head noise reduction system and low-noise integrated stove based on multi-objective optimization method

Abstract

The present application provides an integrated stove head noise reduction system based on a multi-objective optimization method, which reduces the operating noise of the integrated stove when absorbing oil smoke and improves the oil smoke absorption effect. Correspondingly, the present application also provides a low-noise integrated stove that adopts the integrated stove head noise reduction system based on the multi-objective optimization method. With respect to the noise reduction device, the first technical solution of the present application is as follows: the integrated stove head noise reduction system based on the multi-objective optimization method comprises an integrated stove head shell (1) and a front baffle (3) provided on the integrated stove head shell (1); the integrated stove head shell (1) and the front baffle (3) form a rear air suction channel; an air guide device (5) is provided in the rear air suction channel; the air guide device (5) comprises a guide front plate (501); the profile of the guide front plate (501) is determined by the multi-objective optimization method.

Description

Technical Field

[0001] The present application relates to integrated stove noise control technology, specifically to an integrated stove head noise reduction system based on a multi-objective optimization method, and an integrated stove that adopts the integrated stove head noise reduction system. Background Art

[0002] Integrated stoves, a new type of kitchen appliance that integrates multiple functions such as a range hood, gas stove, disinfection cabinet, and storage cabinet, are popular among users for their space-saving, effective extraction, energy-saving, and environmentally friendly features. An integrated stove can be divided into three parts: the head, the fan system, and the cooking system. The head is typically divided into two sections: an upper suction chamber and a rear suction duct. The upper suction chamber is located above the rear suction duct. The upper suction chamber has a filter. Under the negative pressure generated by the fan system, the cooking fumes first pass through the filter into the upper suction chamber, then down into the rear suction duct, and then through the bellows and outlet duct before being discharged into the atmosphere.

[0003] As an emerging industry, integrated stoves are facing increasing competition as the market continues to expand. To achieve further development, many integrated stove companies have increased their investment in technological research and development. However, current efforts to improve integrated stove performance primarily focus on improving the fan system, while research into the head structure has been largely neglected. Currently, industry research on optimizing integrated stove heads primarily focuses on exterior design, with few reports examining the internal structure of the head. Summary of the Invention

[0004] This application provides an integrated stove head noise reduction system based on a multi-objective optimization method, which reduces the operating noise of the integrated stove when absorbing oil fumes while improving the oil fume absorption effect. Correspondingly, this application also provides a low-noise integrated stove that uses an integrated stove head noise reduction system based on a multi-objective optimization method.

[0005] For the noise reduction system, this application provides two technical solutions:

[0006] The first technical solution of the noise reduction system of this application is as follows:

[0007] An integrated stove head noise reduction system based on a multi-objective optimization method includes an integrated stove head shell and a front baffle arranged on the integrated stove head shell; the integrated stove head shell and the front baffle form a rear air suction channel; an air guide device is provided in the rear air suction channel; the air guide device includes a guide front plate; the profile of the guide front plate is determined using a multi-objective optimization method.

[0008] In the first technical solution of the above-mentioned noise reduction system of the present application, an air guide device is provided in the rear air suction channel, and the profile of the guide front plate of the air guide device is determined by a multi-objective optimization method, which improves the oil fume streamline and reduces energy loss, thereby producing a noise reduction effect. The oil fume flows more smoothly and at a faster rate, and the oil fume suction effect is also improved.

[0009] In the aforementioned integrated stove head noise reduction system based on the multi-objective optimization method, the profile of the guide front plate can be determined according to the following steps:

[0010] Step 1: Divide the side of the air suction channel behind the integrated stove head into an area, and set several control points to control the contour of the guide front plate;

[0011] The width of the rear air intake channel of the integrated stove head is a, and the distance between the top and bottom of the rear air intake channel is b; let the lower left end point of the head shell be point O, the lower right end point be point Q, the upper end point of the front baffle be point D, and the horizontal projection of point D on the rear plate of the head shell be point P. With point O as the origin, set the X axis along the line segment OQ, The direction is positive, and the Y axis is set along the line segment OD. The direction is the positive direction, thus establishing the XY rectangular coordinate system;

[0012] Let the line of the guide plate be L, and select 5 coordinate points on L, namely O, A, B, C, and D, where O is the starting point of L and D is the end point of L, with coordinates of (0, 0) and (0, a) respectively; A, B, and C are the three control points of L, with coordinates of (x A ,y A ), (x B ,y B )、(x C ,y C );

[0013] Let points O, D, P and Q enclose an area N; control points A, B, C to move within area N, and stipulate:

[0014] x O <x A <x Q , x O <x B <x Q , x O <x C <x Q (1)

[0015] y O <y A <y B <y C <y D (2)

[0016] x O =0,x D =a (3)

[0017] y O =0,y D =b (4)

[0018] Step 2: Determine the front guide plate profile function based on the control points and the B-spline curve function;

[0019] The control points A, B, and C determined in step 1 are used to generate the non-uniform quadratic B-spline knot vectors according to the Hartley-Judd algorithm. To meet the calculation requirements, k=3. According to the Hartley-Judd algorithm, the continuity of the non-uniform B-spline curve is guaranteed. The knot vectors are obtained by normalizing the length of the knots in the domain by examining the sum of the edges of the polygon enclosed by the control points. Specifically, the length of the knot interval in the domain is calculated as follows:

[0020]

[0021] Where: l j To control the side length of the polygon, l j =|P i -P i-1 |, where P i With P i-1 is the coordinate of the control point, l j is the control point P i With control point P i-1 The spacing, j = 1, 2, ..., n; and then the node value is: Where t k =0,t n+1 =1, i=k+1, k+2…,n+1, where n is the total number of control vertices minus 1;

[0022] According to the calculated node vector, the basis function F is calculated using the de Boor-Cox recursive formula. i,k (t), the interval is divided into m parts, thus obtaining m+1 different values ​​of t, where m and k satisfy the following formula to satisfy the control relationship:

[0023] m+1=n+k+2 (6)

[0024] Then, the points on the guide plate profile in the rectangular coordinate system are obtained from the basis functions and control points; the deBoor-Cox recursive formula is:

[0025]

[0026] Where F i,kIn the double subscript of (t), i = 0, 1, …, n;

[0027] Determine the secondary guide front plate profile function as:

[0028]

[0029] Where: P i There are n+1 control points, i=0, 1, ···, n, and the polyline connected in the order of the control points is the B-spline control polygon; F i,k (t) is the K-1 degree B-spline basis function;

[0030] Step 3: Sample points are extracted from the range of design variables given by equations (1)-(4) using the optimal Latin hypercube experimental design method. The guide plate profile determined by the sample points is geometrically modeled using 3D design software, and simulation calculations are performed to obtain the outlet air volume and noise values ​​of each model.

[0031] Step 4: Establish the functional relationship between design variables, outlet air volume and noise based on the approximate model, and calculate the relationship based on the determination coefficient R 2 Evaluate the accuracy of the established approximate model, determine the final approximate model, use the optimization algorithm to optimize the approximate model, determine the relevant parameters of the guide front plate based on the optimal solution obtained, and perform the final geometric modeling using 3D software.

[0032] Furthermore, the approximate model may be a response surface method, an RBF neural network or a Kriging method.

[0033] As an optimization, in the aforementioned integrated cooktop noise reduction system based on a multi-objective optimization method, the air guide device also includes a pair of guide vanes disposed on the front surface of the guide front plate; the profile of the guide vanes is determined using the multi-objective optimization method. The installation of the guide vanes can further reduce wind noise generated when extracting oil fumes.

[0034] Furthermore, the profile of the guide wing can be determined according to the following steps:

[0035] Step 1: Divide the front of the air suction channel behind the integrated stove head into an area, and set several control points to control the profile of the guide wing plate;

[0036] The distance between the top and bottom of the rear air suction channel is b, and the width of the rear air suction channel is c; let the lower left end point of the guide front plate be point O', the upper left end point be point E, the center line of the guide front plate intersects with the upper end of the guide front plate at point H, and intersects with the lower end of the guide front plate at point I. With point O' as the origin, set the X axis along the line segment OI, The direction is positive, and the Y axis is set along the line segment OE. The direction is the positive direction, thus establishing the XY rectangular coordinate system;

[0037] Let the line of the guide vane be L', select three coordinate points on L', namely points E, F, and G, where: point E is the starting point of L', point G is the end point of L', and the coordinates of point E are (0, b); F and G are the two control points of L', and the coordinates are recorded as (x F ,y F ), (x G ,y G );

[0038] Let points O, E, H and I enclose an area N'; control points F and G to move within area N', and stipulate:

[0039] x E <x F <x G <x H (9)

[0040] y O′ <y F <y G <y I (10)

[0041] x O′ =x E =0 (11)

[0042] y O′ =0,y E =b (12)

[0043] Step 2: Determine the front guide plate profile function based on the control points and the B-spline curve function;

[0044] Based on the control points F and G determined in step 1, the non-uniform quadratic B-spline knot vector is generated according to the Hartley-Judd algorithm. To meet the calculation requirements, k=2. According to the Hartley-Judd algorithm, the continuity of the non-uniform B-spline curve is guaranteed. The knot vector is obtained by normalizing the length of the knots in the domain by examining the sum of the edges of the polygon enclosed by the control points. Specifically, the length of the knot interval in the domain is calculated as follows:

[0045]

[0046] Where: l j To control the side length of the polygon, l j =|P i -P i-1 |, where P i With P i-1 is the coordinate of the control point, l j is the control point P i With control point P i-1The spacing, j = 1, 2, ..., n; and then the node value is: Where t k =0,t n+1 =1, i=k+1, k+2…,n+1, where n is the total number of control vertices minus 1;

[0047] According to the calculated node vector, the basis function F is calculated using the de Boor-Cox recursive formula. i,k (t), the interval is divided into m parts, thus obtaining m+1 different values ​​of t, where m and k satisfy the following formula to satisfy the control relationship:

[0048] m+1=n+k+2 (14)

[0049] Then, the points on the guide vane profile in the rectangular coordinate system can be obtained from the basis functions and control points; the deBoor-Cox recursive formula is:

[0050]

[0051] Where F i,k In the double subscript of (t), i = 0, 1, …, n;

[0052] Determine the secondary guide wing profile function as:

[0053]

[0054] Where: P i There are n+1 control points, i=0, 1, ···, n, and the polyline connected in the order of the control points is the B-spline control polygon; F i,k (t) is the K-1 degree B-spline basis function;

[0055] Step 3: Sample points are extracted from the range of design variables given by equations (9)-(12) using the optimal Latin hypercube experimental design method. The guide vane profile determined by the sample points is geometrically modeled using 3D design software, and simulation calculations are performed to obtain the outlet air volume and noise values ​​of each model.

[0056] Step 4: Establish the functional relationship between design variables, outlet air volume and noise based on the approximate model, and calculate the relationship based on the determination coefficient R 2 Evaluate the accuracy of the established approximate model, determine the final approximate model, use the optimization algorithm to optimize the approximate model, determine the relevant parameters of the guide vane based on the optimal solution obtained, and perform the final geometric modeling using 3D software.

[0057] As an optimization, in the aforementioned integrated stove head noise reduction system based on the multi-objective optimization method, a sound absorbing structure is provided on the guide front plate (501). The provision of the sound absorbing structure can further reduce noise.

[0058] Furthermore, the windward surface of the front deflector plate is machined with an array of variable-section micro-slits, forming a sound-absorbing structure. These micro-slits consist of a strip-shaped micro-slit and two outward-expanding tapered holes of varying cross-section, located on either side of the strip. Tests have shown that this approach offers relatively good noise reduction.

[0059] The second technical solution of the noise reduction system of this application is as follows:

[0060] An integrated stove head noise reduction system based on a multi-objective optimization method comprises an integrated stove head housing and a front baffle provided on the integrated stove head housing; the integrated stove head housing and the front baffle (3) form a rear air suction channel; an air guide device is provided in the rear air suction channel; the air guide device comprises a pair of guide vanes; and the profile of the guide vanes is determined using a multi-objective optimization method.

[0061] In the second technical solution of the above-mentioned noise reduction system of the present application, an air guide device is provided in the rear air suction channel, and the profile of the guide wing of the air guide device is determined by a multi-objective optimization method, which improves the oil fume streamline and reduces energy loss, thereby producing a noise reduction effect.

[0062] In the aforementioned integrated stove head noise reduction system based on the multi-objective optimization method, the profile of the guide wing plate can be determined according to the following steps:

[0063] Step 1: Divide the front of the air suction channel behind the integrated stove head into an area, and set several control points to control the profile of the guide wing plate;

[0064] The distance between the top and bottom of the rear suction channel is b, and the width of the rear suction channel is c. Let the lower left end of the front baffle be point O', the upper left end be point E, and the center line of the front baffle intersects with its upper end at point H and its lower end at point I. With point O' as the origin and line segment OI as the X-axis, The direction is positive, and the Y axis is set as line segment OE. The direction is the positive direction, thus establishing the XY rectangular coordinate system;

[0065] Let the line of the guide vane be L', select three coordinate points on L', namely points E, F, and G, where: point E is the starting point of L', point G is the end point of L', and the coordinates of point E are (0, b); F and G are the two control points of L', and the coordinates are recorded as (x F ,y F ), (x G ,y G );

[0066] Let points O, E, H and I enclose an area N'; control points F and G to move within area N', and stipulate:

[0067] x E <x F <x G <x H (9)

[0068] y O′ <y F <y G <y I (10)

[0069] x O′ =x E =0 (11)

[0070] y O′ =0,y E =b (12)

[0071] Step 2: Determine the front guide plate profile function based on the control points and the B-spline curve function;

[0072] Based on the control points F and G determined in step 1, the non-uniform quadratic B-spline knot vector is generated according to the Hartley-Judd algorithm. To meet the calculation requirements, k=2. According to the Hartley-Judd algorithm, the continuity of the non-uniform B-spline curve is guaranteed. The knot vector is obtained by normalizing the length of the knots in the domain by examining the sum of the edges of the polygon enclosed by the control points. Specifically, the length of the knot interval in the domain is calculated as follows:

[0073]

[0074] Where: l j To control the side length of the polygon, l j =|P i -P i-1 |, where P i With P i-1 is the coordinate of the control point, l j is the control point P i With control point P i-1 The spacing, j = 1, 2, ..., n; and then the node value is: Where t k =0,t n+1 =1, i=k+1, k+2…,n+1, where n is the total number of control vertices minus 1;

[0075] According to the calculated node vector, the basis function F is calculated using the de Boor-Cox recursive formula. i,k(t), the interval is divided into m parts, thus obtaining m+1 different values ​​of t, where m and k satisfy the following formula to satisfy the control relationship:

[0076] m+1=n+k+2 (14)

[0077] Then, the points on the guide vane profile in the rectangular coordinate system can be obtained from the basis functions and control points; the deBoor-Cox recursive formula is:

[0078]

[0079] Where F i,k In the double subscript of (t), i = 0, 1, …, n;

[0080] In summary, the secondary guide wing profile function can be determined as:

[0081]

[0082] Where: P i There are n+1 control points, i=0, 1, ···, n, and the polyline connected in the order of the control points is the B-spline control polygon; F i,k (t) is the K-1 degree B-spline basis function;

[0083] Step 3: Sample points are extracted from the range of design variables given by equations (9)-(12) using the optimal Latin hypercube experimental design method. The guide vane profile determined by the sample points is geometrically modeled using 3D design software, and simulation calculations are performed to obtain the outlet air volume and noise values ​​of each model.

[0084] Step 4: Establish the functional relationship between design variables, outlet air volume and noise based on the approximate model, and calculate the relationship based on the determination coefficient R 2 Evaluate the accuracy of the established approximate model, determine the final approximate model, use the optimization algorithm to optimize the approximate model, determine the relevant parameters of the guide vane based on the optimal solution obtained, and perform the final geometric modeling using 3D software.

[0085] For integrated stoves, this application provides the following technical solutions:

[0086] The low-noise integrated stove adopts the integrated stove head noise reduction system based on the multi-objective optimization method of the aforementioned application.

[0087] The integrated stove adopts the integrated stove head noise reduction system based on the multi-objective optimization method of this application, which produces lower noise when absorbing oil fumes and has a better oil fume absorption effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] Figure 1This is a schematic structural diagram of an integrated stove according to an embodiment of the present invention;

[0089] Figure 2 Schematic diagram of the front baffle in an embodiment of the present invention;

[0090] Figure 3 This is a schematic diagram of an integrated stove according to an embodiment of the present invention (with the front baffle and the guide device removed);

[0091] Figure 4 is a side sectional view of an integrated stove according to an embodiment of the present invention;

[0092] Figure 5 for Figure 4 A magnified portion of a view;

[0093] Figure 6 Schematic diagram of the guide front plate profile in an embodiment of the present invention;

[0094] Figure 7 This is a front view of an integrated stove according to an embodiment of the present invention (with the front baffle removed);

[0095] Figure 8 A rear cross-sectional view of an integrated stove according to an embodiment of the present invention;

[0096] Figure 9 This is a partial enlarged view of the guide wing plate in the stove according to an embodiment of the present invention;

[0097] Figure 10 Schematic diagram of the guide vane profile in an embodiment of the present invention;

[0098] Figure 11 Schematic diagram of a flow guide device in an embodiment of the present invention;

[0099] Figure 12 This is a partial enlarged front view of a variable-section micro-slit hole in an embodiment of the present invention;

[0100] Figure 13 A partially enlarged side view of a variable-section micro-slit hole in an embodiment of the present invention;

[0101] Marked in the accompanying drawings: 1-integrated stove head shell, 2-inlet grille, 201-grille hole, 3-front baffle, 301-built-in magnetic strip, 4-front plate, 5-guide device, 501-guide front plate, 502-guide wing plate, 503-variable cross-section micro-slit hole, 5031-strip micro-slit hole, 5032-variable cross-section conical hole, 504-disassembly and assembly handle, 505-oil leakage notch, 6-guide device positioning groove, 7-fan system, 8-air inlet box, 9-air guide box. DETAILED DESCRIPTION

[0102] The present invention will be further described below with reference to the accompanying drawings and specific examples, but they are not intended to limit the present invention. Any details not described in the following examples are general knowledge in the art.

[0103] Example:

[0104] This embodiment provides a low-noise integrated stove, which adopts an integrated stove head noise reduction system based on a multi-objective optimization method.

[0105] In this embodiment, the integrated stove head housing 1, inlet grille 2 (when in operation, oil smoke enters through grille holes 201), front baffle 3, and leading edge plate 4 together form the integrated stove's air intake system, representing the design of most integrated stove heads currently on the market. The fan system 7, air inlet box 8, and air guide box 9, together with the integrated stove's air intake system, form the integrated stove's air duct system.

[0106] In this embodiment, the integrated cooktop noise reduction system includes an integrated cooktop housing 1 and a front baffle 3 mounted on the integrated cooktop housing 1. An air guide device 5 is provided in the rear air guide channel formed by the integrated cooktop housing 1 and the front baffle 3. The air guide device 5 includes a front air guide plate 501 and air guide wings 502. The air guide device 5 achieves noise reduction by optimizing the spatial structure of the integrated cooktop. Firstly, the flow area of ​​the integrated stove head (rear air guide channel) is divided into areas in the side and front directions respectively, and a number of control points are set to control the guide plate profile; secondly, sample points are extracted, and the control point positions are determined based on the sample point parameters, and the B-spline curve function is used to determine the profile functions of the guide front plate 501 and the guide wing plate 502; thirdly, the guide plate profiles in the side and front directions (the side direction determines the guide front plate 501, and the front direction determines the guide wing plate 502) are combined and geometrically modeled using three-dimensional design software, and then simulation calculations are performed on them; finally, the functional relationship between the design variables and the air volume and noise is established based on the approximate model, and the optimization algorithm is used to optimize the approximate model.

[0107] In this embodiment, the profile of the front guide plate 501 is determined according to the following steps:

[0108] Step 1: Divide the side of the air suction channel behind the integrated stove head into an area, and set several control points to control the contour of the guide front plate 501;

[0109] The width of the rear air intake channel of the integrated stove head is a, and the distance between the top and bottom of the rear air intake channel is b; let the lower left end point of the head shell be point O, the lower right end point be point Q, the upper end point of the front baffle 3 be point D, and the horizontal projection of point D on the rear plate of the head shell be point P. With point O as the origin, set the X axis along the line segment OQ, The direction is positive, and the Y axis is set along the line segment OD. The direction is the positive direction, thus establishing the XY rectangular coordinate system;

[0110] Let the line of the guide plate 501 be L, and select 5 coordinate points on L, namely O, A, B, C, and D, where O is the starting point of L and D is the end point of L, with coordinates of (0, 0) and (0, a) respectively; A, B, and C are the three control points of L, with coordinates of (x A ,y A ), (x B ,y B )、(x C ,y C );

[0111] Let points O, D, P and Q enclose an area N; control points A, B, C to move within area N, and stipulate:

[0112] x O <x A <x Q , x O <x B <x Q , x O <x C <x Q (1)

[0113] y O <y A <y B <y C <y D (2)

[0114] x O =0,x D =a (3)

[0115] y O =0,y D =b (4)

[0116] Step 2: Determine the front guide plate profile function based on the control points and the B-spline curve function;

[0117] The control points A, B, and C determined in step 1 are used to generate the non-uniform quadratic B-spline knot vectors according to the Hartley-Judd algorithm. To meet the calculation requirements, k=3. According to the Hartley-Judd algorithm, the continuity of the non-uniform B-spline curve is guaranteed. The knot vectors are obtained by normalizing the length of the knots in the domain by examining the sum of the edges of the polygon enclosed by the control points. Specifically, the length of the knot interval in the domain is calculated as follows:

[0118]

[0119] Where: lj To control the side length of the polygon, l j =|P i -P i-1 |, where P i With P i-1 is the coordinate of the control point, l j is the control point P i With control point P i-1 The spacing, j = 1, 2, ..., n; and then the node value is: Where t k =0,t n+1 =1, i=k+1, k+2…,n+1, where n is the total number of control vertices minus 1;

[0120] According to the calculated node vector, the basis function F is calculated using the de Boor-Cox recursive formula. i,k (t), the interval is divided into m parts, thus obtaining m+1 different values ​​of t, where m and k satisfy the following formula to satisfy the control relationship:

[0121] m+1=n+k+2 (6)

[0122] Then, the points on the guide plate profile in the rectangular coordinate system are obtained from the basis functions and control points; the deBoor-Cox recursive formula is:

[0123]

[0124]

[0125] Where F i,k In the double subscript of (t), i = 0, 1, …, n;

[0126] Determine the secondary guide front plate profile function as:

[0127]

[0128] Where: P i There are n+1 control points, i=0, 1, ···, n, and the polyline connected in the order of the control points is the B-spline control polygon; F i,k (t) is the K-1 degree B-spline basis function;

[0129] Step 3: Sample points are extracted from the range of design variables given by equations (1)-(4) using the optimal Latin hypercube experimental design method. The guide plate profile determined by the sample points is geometrically modeled using 3D design software, and simulation calculations are performed to obtain the outlet air volume and noise values ​​of each model.

[0130] Step 4: Establish the functional relationship between design variables, outlet air volume and noise based on the approximate model, and calculate the relationship based on the determination coefficient R 2 The accuracy of the established approximate model is evaluated, and the final approximate model is determined. The approximate model is optimized using an optimization algorithm. Based on the optimal solution obtained, the relevant parameters of the guide front plate 501 are determined, and the final geometric modeling is performed using 3D software.

[0131] The profile of the guide wing 502 is determined by the following steps:

[0132] Step 1: Divide the front of the air suction channel behind the integrated stove head into an area, and set several control points to control the profile of the guide wing plate 502;

[0133] The distance between the top and bottom of the rear air suction channel is b, and the width of the rear air suction channel is c. Let the lower left end of the guide plate 501 be point O', the upper left end be point E, and the center line of the guide plate 501 intersects with the upper end of the guide plate 501 at point H and with the lower end of the guide plate 501 at point I. With point O' as the origin, set the X-axis along the line segment OI. The direction is positive, and the Y axis is set along the line segment OE. The direction is the positive direction, thus establishing the XY rectangular coordinate system;

[0134] Let the line of the guide vane 502 be L', and select three coordinate points on L', namely points E, F, and G, where: point E is the starting point of L', point G is the end point of L', and the coordinates of point E are (0, b); F and G are two control points of L', and the coordinates are recorded as (x F ,y F ), (x G ,y G );

[0135] Let points O, E, H and I enclose an area N'; control points F and G to move within area N', and stipulate:

[0136] x E <x F <x G <x H (9)

[0137] y O′ <y F <y G <y I (10)

[0138] x O′ =x E =0 (11)

[0139] y O′ =0,y E =b (12)

[0140] Step 2: Determine the front guide plate profile function based on the control points and the B-spline curve function;

[0141] Based on the control points F and G determined in step 1, the non-uniform quadratic B-spline knot vector is generated according to the Hartley-Judd algorithm. To meet the calculation requirements, k=2. According to the Hartley-Judd algorithm, the continuity of the non-uniform B-spline curve is guaranteed. The knot vector is obtained by normalizing the length of the knots in the domain by examining the sum of the edges of the polygon enclosed by the control points. Specifically, the length of the knot interval in the domain is calculated as follows:

[0142]

[0143] Where: l j To control the side length of the polygon, l j =|P i -P i-1 |, where P i With P i-1 is the coordinate of the control point, l j is the control point P i With control point P i-1 The spacing, j = 1, 2, ..., n; and then the node value is: Where t k =0,t n+1 =1, i=k+1, k+2…,n+1, where n is the total number of control vertices minus 1;

[0144] According to the calculated node vector, the basis function F is calculated using the de Boor-Cox recursive formula. i,k (t), the interval is divided into m parts, thus obtaining m+1 different values ​​of t, where m and k satisfy the following formula to satisfy the control relationship:

[0145] m+1=n+k+2 (14)

[0146] Then, the points on the guide vane profile in the rectangular coordinate system can be obtained from the basis functions and control points; the deBoor-Cox recursive formula is:

[0147]

[0148] Where F i,k In the double subscript of (t), i = 0, 1, …, n;

[0149] Determine the secondary guide wing profile function as:

[0150]

[0151] Where: P i There are n+1 control points, i=0, 1, ···, n, and the polyline connected in the order of the control points is the B-spline control polygon; F i,k (t) is the K-1 degree B-spline basis function;

[0152] Step 3: Use the optimal Latin hypercube experimental design method to extract sample points from the range of design variable values ​​given by equations 9-12. Use 3D design software to perform geometric modeling on the guide vane profile determined by the sample points, and perform simulation calculations on it to obtain the outlet air volume and noise values ​​of each model.

[0153] Step 4: Establish the functional relationship between design variables, outlet air volume and noise based on the approximate model, and calculate the relationship based on the determination coefficient R 2 The accuracy of the established approximate model is evaluated, and the final approximate model is determined. The approximate model is optimized using an optimization algorithm. Based on the optimal solution obtained, the relevant parameters of the guide vane 502 are determined, and the final geometric modeling is performed using 3D software.

[0154] In this embodiment, the approximate model is the Kriging method.

[0155] The cavity structure formed by the front baffle 3 and the air guide front plate 501 creates the conditions for installing a micro-perforated plate sound absorption structure. In this embodiment, the windward surface of the air guide front plate 501 is machined with an array of variable-section micro-slits 503, forming a sound absorption structure. The variable-section micro-slits 503 are composed of strip-shaped micro-slits 5031 and two outward-expanding tapered holes 5032 of variable cross-section, located on either side of the strip-shaped micro-slits 5031. (The provision of the tapered holes 5032 achieves sound absorption performance similar to that of a thin plate on a thick plate while ensuring the structural strength of the air guide front plate 501.) By installing this sound absorption structure on the windward surface of the air guide front plate 501, the wind noise generated by the range hood can be further reduced. In this embodiment, the strip-shaped micro-slits 5031 measure 0.05×2.0mm and have a thickness of 0.05mm. The large end of the tapered hole 5032 measures 2.0×2.0mm. When implementing the scheme of the present invention, a conventional microporous plate sound-absorbing structure can be processed on the windward surface of the guide front plate 501 to achieve the purpose of reducing noise, or a channel hole can be processed on the windward surface of the guide front plate 501, and then sound-absorbing cotton is arranged to form a sound-absorbing structure to achieve the purpose of noise reduction. However, the noise reduction effect of these sound-absorbing structures is not as good as the noise reduction effect produced by the variable-section micro-slit holes 503 arranged in this embodiment.

[0156] In this embodiment, a disassembly handle 504 is provided on the deflector front plate 501. The disassembly handle 504 is provided to facilitate disassembly, assembly and cleaning.

[0157] In this embodiment, the lower edge of the deflector front plate 501 is provided with an oil leakage notch 505, thereby creating an oil leakage hole at the bottom of the cavity formed by the deflector front plate 501 and the front baffle 3. During operation, a small amount of oil smoke enters the cavity through the variable-section micro-slits 503. The oil leakage hole can remove residual oil droplets in the cavity, keeping the cavity clean and ensuring the noise reduction effect.

[0158] In this embodiment, the back plate of the integrated stove head housing 1 is provided with a guide device positioning groove 6, and the guide wing 502 is embedded in the guide device positioning groove 6 to form an installation position. When installing the guide device 5, the guide wing 502 can be embedded therein to locate the installation position of the guide device, ensure sealing, and ensure the noise reduction effect.

[0159] In this embodiment, the front baffle 3 is provided with a magnetic strip 301, which is adsorbed on the integrated stove head housing 1 by the magnetic attraction of the magnetic strip 301. The front baffle 3 is fixed by magnetic attraction, which has the advantage of easy disassembly and assembly.

[0160] Tests have shown that when the integrated stove of this application embodiment is in operation, the noise level is reduced by approximately 3dB compared to existing products that do not have an air guide device in the rear air intake channel. The above embodiment is the best embodiment currently mastered by the inventor team. Tests have shown that when implementing the technical solution of this application, if only the guide front plate 501 is provided without the guide wings 502 and the variable-section micro-slits 503, the noise level is reduced by approximately 1.5dB compared to existing products; if only the guide wings 502 are provided, the noise level is reduced by approximately 1.5dB compared to existing products; if the guide front plate 501 and the guide wings 502 are provided without the variable-section micro-slits 503, the noise level is reduced by approximately 2dB compared to existing products.

[0161] The above general description of the invention and the description of its specific embodiments involved in this application should not be understood as limiting the technical solutions of the invention. Based on the disclosure of this application, those skilled in the art may, without violating the constituent elements of the invention involved, add, subtract, or combine the disclosed technical features in the above general description and / or specific embodiments (including examples) to form other technical solutions within the scope of protection of this application.

Claims

1. An integrated stove head noise reduction system based on a multi-objective optimization method, comprising an integrated stove head housing (1) and a front baffle (3) disposed on the integrated stove head housing (1); the integrated stove head housing (1) and the front baffle (3) forming a rear air suction channel; Its characteristics are: An air guide device (5) is provided in the rear air suction channel; the air guide device (5) includes a guide front plate (501); the profile of the guide front plate (501) is determined using a multi-objective optimization method; The profile of the guide front plate (501) is determined according to the following steps: Step 1: Divide the side of the air suction channel behind the integrated stove head into an area, and set a number of control points to control the profile of the guide front plate (501); The width of the rear air suction channel of the integrated stove head is a, and the distance between the top and bottom of the rear air suction channel is b; let the lower left end point of the head shell be point O, the lower right end point be point Q, the upper end point of the front baffle (3) be point D, and the horizontal projection of point D on the rear plate of the head shell be point P; with point O as the origin, set the X axis along the line segment OQ, The direction is positive, and the Y axis is set along the line segment OD. The direction is the positive direction, thus establishing the XY rectangular coordinate system; Let the line of the guide front plate (501) be L, and select 5 coordinate points on L, namely points O, A, B, C, and D, where: point O is the starting point of L, point D is the end point of L, and the coordinates are (0, 0) and (0, a) respectively; A, B, and C are the three control points of L, and the coordinates are recorded as (x A ,y A ), (x B ,y B )、(x C ,y C ); Let points O, D, P and Q enclose an area N; control points A, B, C to move within area N, and stipulate: x O <x A <x Q ,x O <x B <x Q ,x O <x C <x Q (1) and O <and A <and B <and C <and D (2) x O =0,x D =a (3) and O =0,y D =b (4) Step 2: Determine the front guide plate profile function based on the control points and the B-spline curve function; The control points A, B, and C determined in step 1 are used to generate the non-uniform quadratic B-spline knot vectors according to the Hartley-Judd algorithm. To meet the calculation requirements, k=3. According to the Hartley-Judd algorithm, the continuity of the non-uniform B-spline curve is guaranteed. The knot vectors are obtained by normalizing the length of the knots in the domain by examining the sum of the edges of the polygon enclosed by the control points. Specifically, the length of the knot interval in the domain is calculated as follows: Where: l j To control the side length of the polygon, l j =|P i -P i-1 |, where P i With P i-1 is the coordinate of the control point, l j is the control point P i With control point P i-1 The spacing, j = 1, 2, ..., n; and then the node value is: Where t k =0,t n+1 =1, i=k+1, k+2…,n+1, where n is the total number of control vertices minus 1; According to the calculated node vector, the basis function F is calculated using the de Boor-Cox recursive formula. i,k (t), the interval is divided into m parts, thus obtaining m+1 different values ​​of t, where m and k satisfy the following formula to satisfy the control relationship: m+1=n+k+2(6) Then, the points on the guide plate profile in the rectangular coordinate system are obtained from the basis functions and control points; the de Boor-Cox recursive formula is: Where F i,k In the double subscript of (t), i = 0, 1, …, n; Determine the secondary guide front plate profile function as: Where: P i There are n+1 control points, i=0, 1, ···, n, and the polyline connected in the order of the control points is the B-spline control polygon; F i,k (t) is the K-1 degree B-spline basis function; Step 3: Sample points are extracted from the range of design variables given by equations (1)-(4) using the optimal Latin hypercube experimental design method. The guide plate profile determined by the sample points is geometrically modeled using 3D design software, and simulation calculations are performed to obtain the outlet air volume and noise values ​​of each model. Step 4: Establish the functional relationship between design variables, outlet air volume and noise based on the approximate model, and calculate the relationship based on the determination coefficient R 2 The accuracy of the established approximate model is evaluated to determine the final selected approximate model, and an optimization algorithm is used to optimize the approximate model. Based on the optimal solution obtained by the optimization, the relevant parameters of the guide front plate (501) are determined, and the final geometric modeling is performed using three-dimensional software.

2. The integrated stove head noise reduction system based on the multi-objective optimization method according to claim 1 is characterized in that: The approximate model is a response surface method, a RBF neural network or a Kriging method.

3. The integrated stove head noise reduction system based on the multi-objective optimization method according to claim 1 or 2, characterized in that: The air guide device (5) further comprises a pair of guide wing plates (502) arranged on the front surface of the guide front plate (501); the profile of the guide wing plates (502) is determined by using a multi-objective optimization method.

4. The integrated stove head noise reduction system based on the multi-objective optimization method according to claim 3 is characterized by: The guide front plate (501) is provided with a sound absorbing structure.

5. The integrated stove head noise reduction system based on the multi-objective optimization method according to claim 4 is characterized in that: The windward surface of the guide front plate (501) is processed with an array of variable-section micro-slit holes (503) to form a sound absorption structure; the variable-section micro-slit holes 503 are composed of a strip-shaped micro-slit hole (5031) and two variable-section conical holes (5032) that are respectively arranged on both sides of the strip-shaped micro-slit hole (5031) and gradually expand outward.

6. The integrated stove head noise reduction system based on multi-objective optimization method is characterized by: The integrated stove head housing (1) and the front baffle (3) are provided on the integrated stove head housing (1); the integrated stove head housing (1) and the front baffle (3) form a rear air suction channel; The invention is characterized in that: an air guide device (5) is provided in the rear air suction channel; the air guide device (5) comprises a pair of guide wing plates (502); the profile of the guide wing plates (502) is determined by a multi-objective optimization method; The profile of the guide wing (502) is determined according to the following steps: Step 1: Divide the front of the air suction channel behind the integrated stove head into an area, and set a number of control points to control the profile of the guide wing plate (502); The distance between the top and bottom of the rear air suction channel is b, and the width of the rear air suction channel is c; let the lower left end point of the front baffle (3) be point O', the upper left end point be point E, the center line of the front baffle (3) intersects with its upper end at point H, and intersects with its lower end at point I; let point O' be the origin, and let the X-axis be the line segment OI. The direction is positive, and the Y axis is set as line segment OE. The direction is the positive direction, thus establishing the XY rectangular coordinate system; Let the line of the guide vane be L', select three coordinate points on L', namely points E, F, and G, where: point E is the starting point of L', point G is the end point of L', and the coordinates are (0, b); F and G are the two control points of L', and the coordinates are recorded as (x F ,y F ), (x G ,y G ); Let points O, E, H and I enclose an area N'; control points F and G to move within area N', and stipulate: x E <x F <x G <x H (9) and O′ <and F <and G <and I (10) x O′ =x E =0(11) and O′ =0,and E =b(12) Step 2: Determine the front guide plate profile function based on the control points and the B-spline curve function; Based on the control points F and G determined in step 1, the non-uniform quadratic B-spline knot vector is generated according to the Hartley-Judd algorithm. To meet the calculation requirements, k=2. According to the Hartley-Judd algorithm, the continuity of the non-uniform B-spline curve is guaranteed. The knot vector is obtained by normalizing the length of the knots in the domain by examining the sum of the edges of the polygon enclosed by the control points. Specifically, the length of the knot interval in the domain is calculated as follows: Where: l j To control the side length of the polygon, l j =|P i -P i-1 |, where P i With P i-1 is the coordinate of the control point, l j is the control point P i With control point P i-1 The spacing, j = 1, 2, ..., n; and then the node value is: Where t k =0,t n+1 =1, i=k+1, k+2…,n+1, where n is the total number of control vertices minus 1; According to the calculated node vector, the basis function F is calculated using the de Boor-Cox recursive formula. i,k (t), the interval is divided into m parts, thus obtaining m+1 different values ​​of t, where m and k satisfy the following formula to satisfy the control relationship: m+1=n+k+2(14) Then, the points on the guide vane profile in the rectangular coordinate system can be obtained from the basis functions and control points; the deBoor-Cox recursive formula is: Where F i,k In the double subscript of (t), i = 0, 1, …, n; In summary, the secondary guide wing profile function can be determined as: Where: P i There are n+1 control points, i=0, 1, ···, n, and the polyline connected in the order of the control points is the B-spline control polygon; F i,k (t) is the K-1 degree B-spline basis function; Step 3: Sample points are extracted from the range of design variables given by equations (9)-(12) using the optimal Latin hypercube experimental design method. The guide vane profile determined by the sample points is geometrically modeled using 3D design software, and simulation calculations are performed to obtain the outlet air volume and noise values ​​of each model. Step 4: Establish the functional relationship between design variables, outlet air volume and noise based on the approximate model, and calculate the relationship based on the determination coefficient R 2 The accuracy of the established approximate model is evaluated to determine the final selected approximate model, an optimization algorithm is used to optimize the approximate model, and the relevant parameters of the guide wing (502) are determined based on the optimal solution obtained by the optimization, and the final geometric modeling is performed using three-dimensional software.

7. Low-noise integrated stove, characterized by: An integrated stove head noise reduction system based on a multi-objective optimization method according to any one of claims 1 to 6 is adopted.

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