226 results about "Dielectric loss factor" patented technology

The invention relates to the technical field of high-frequency signal transmission, and discloses a high-frequency signal transmission optimization method for a radio frequency coaxial connector. The method comprises the following steps: acquiring an original electromagnetic parameter sequence when a high-frequency signal is transmitted in a target working frequency band in real time, wherein the original electromagnetic parameter sequence comprises an impedance change value, a dielectric loss factor and a conductor skin depth measurement value; layered feature analysis is carried out on the data, features of a basic transmission layer, an interface reflection layer and a medium coupling layer are separated out, and a layered electromagnetic feature set is generated; identifying a key performance influence section according to the set, constructing a non-uniform frequency domain analysis grid, dividing a reflection sensitive area by using a fine frequency band, and dividing a transmission stable area by using a wide frequency band; performing time-frequency joint simulation based on the grid, and extracting a full-band dynamic transmission response spectrum; and combining with the material electromagnetic property database to optimize the structure parameter configuration scheme, generating an optimization instruction set, and loading the optimization instruction set to a processing control system to execute physical structure dynamic adjustment operation.

The invention relates to the technical field of power equipment monitoring, in particular to a transformer fault diagnosis method, system and device based on multi-modal deep learning and a storage medium. Obtaining the volume fraction of gas dissolved in oil of the transformer, the local discharge capacity, the sleeve dielectric loss factor, the vibration data and the infrared image data; continuous wavelet transform processing based on integrated gradient is carried out on the vibration data, and key fault frequency bands are dynamically screened to generate a time-frequency map; inputting the numeric data into a stack-type denoising auto-encoder network to extract depth features; respectively inputting the infrared image and the radio frequency map into a double-branch convolution encoder for early feature fusion, and extracting map depth features through a stack type convolution auto-encoder network; and based on the Dempster-Shafer evidence theory, carrying out conflict resolution and evidence synthesis on the fault probability distribution output by the two types of modes, and outputting a diagnosis result.

The invention discloses a control method and system of an automatic dispenser, and relates to the technical field of automatic control, and the control method comprises the following steps: collecting and preprocessing a dielectric loss factor and a temperature change rate of glue, calculating the dynamic viscosity, the shear temperature rise and the phase change rate of the glue through a time-frequency conjoint analysis method, and generating a phase change parameter matrix; inputting the phase change parameter matrix into a soliton kinetic model, obtaining a soliton waveform of the colloid under a nonlinear effect and a dissipation effect, optimizing the soliton waveform in combination with real-time viscosity, generating a pulse parameter and a dispersion compensation coefficient, and forming a soliton driving instruction set; loading the soliton driving instruction set to an FPGA (Field Programmable Gate Array) controller of the electric valve, generating a high-voltage pulse waveform, executing high-precision dispensing, monitoring a jet waveform and carrying out dynamic calibration; according to the method, the waveform is optimized through the soliton kinetic model and the step-by-step Fourier method, and accurate balance between the colloid dissipation effect and the nonlinear effect is achieved.

The invention belongs to the technical field of aging state evaluation, and discloses a high-voltage dry-type bushing insulation aging state evaluation method based on frequency domain characteristics. According to the method, the FDS is adopted, and the aging state of the insulating material is evaluated according to the change of the complex capacitance, the complex dielectric constant, the dielectric loss factor and the like of a medium along with the frequency under a low-voltage sine alternating electric field. The FDS shows remarkable superiority in a plurality of aspects. The method comprises the following steps: firstly, measuring a dielectric constant and dielectric loss of an insulating medium in a wide frequency range by an FDS method so as to obtain response characteristics of the insulating material under different frequencies; according to the method, the frequency domain dielectric spectroscopy FDS is combined with the advantages of wide frequency range measurement, frequency domain feature recognition, comprehensive reflection of electrical characteristics and the like, so that accurate evaluation of the insulation aging state of the high-voltage dry-type bushing is realized. The safety and the stability of a power system can be improved, and faults and accidents caused by insulation aging can be reduced.

The invention relates to the technical field of transformers, in particular to a transformer component fault diagnosis method based on machine learning, which comprises the following steps: analyzing medium data acquired by a transformer component, comparing a dielectric loss factor sequence with offset characteristics, training and generating an offset time sequence characteristic set, screening abnormal time periods and aggregating key discharge characteristics, and performing fault diagnosis. And obtaining an abnormal clustering signal group, concluding a trend evolution sequence, performing layered optimization on a path structure, and outputting fault link positioning data. According to the method, various parameters such as dielectric loss, discharge, temperature rise, gas and vibration are integrated, abnormal distribution is actively screened, key node trend change is captured in real time, historical and real-time characteristics in different operation scenes are fused, and efficient analysis of complex link evolution and implicit anomalies is realized. And the fault evolution relationship among the nodes is output in a structured manner, direct application of a diagnosis result in full-link traceability and multi-node trend research and judgment is supported, and the fault diagnosis pertinence and the hidden danger recognition capability are effectively improved.

The invention provides a capacitive equipment resistive current taking-free PT signal measurement method suitable for a lightning arrester, and relates to the technical field of capacitive equipment resistive current measurement. The method comprises the following steps: deploying a non-contact electric field coupling sensing array; acquiring a multi-channel main induction signal and an equipment high-voltage side induction electric field signal; performing cascade filtering processing to obtain a filtering reference signal; dynamically correcting the phase deviation of the filtered reference signal to obtain a calibration reference signal; collecting a leakage current signal, and separating to obtain a resistive current component; and constructing a dielectric loss factor multivariable dynamic compensation model based on the deep belief network, embedding a capacitive equipment operation duration cumulative effect factor, and updating parameters in real time through an online learning algorithm to obtain a resistive current measurement result. High-precision measurement of resistive current is realized through an advanced technology, a model is established in combination with multiple environment parameters and equipment operation duration, adaptability is improved, and long-term accurate monitoring is guaranteed through online parameter updating.

The invention discloses a high-precision transformer fault detection method and system, relates to the technical field of transformer detection, is used for solving the problems of insensitive fault characterization and delayed diagnosis under a light load condition, and judges whether to enter a load judgment mechanism or not by acquiring input side access voltage information and counting low-load accumulated duration. When entering a load discrimination mechanism, detecting the start-stop behavior of a load branch and the temperature rise trend of a winding, calculating a light load index, identifying a light load state, carrying out region division on an iron core, collecting magnetic flux density data, and calculating iron loss balance characteristics aiming at iron loss deviation which is easy to occur under a light load condition; the insulation degradation coefficient is calculated by fusing the oil temperature peak value and the dielectric loss factor, and the abnormal index is generated with the iron loss balance characteristic, so that the early warning of the early hidden fault of the transformer can be realized in a light load scene in which the traditional temperature rise and current indexes are insensitive, and the operation reliability and maintenance efficiency of the transformer in a power distribution system are improved.

The invention relates to the technical field of thermal insulation materials, in particular to a preparation method of a rigid polyurethane foam thermal insulation material, which comprises the following steps: mixing polyol and nano silicon dioxide through a high-shear emulsifying machine to generate a first raw material; respectively adding the first raw material, the second raw material and isocyanate into a high-pressure foaming machine in proportion; adjusting the temperature to a first temperature, and reacting for 20 minutes to form a first mixture; adjusting the temperature to a second temperature, and reacting for 10 minutes to generate a second mixture; adjusting the temperature to a third temperature, curing the second mixture for 20 minutes, collecting a dielectric constant, calculating and generating a dielectric loss factor, and judging whether a peak value is delayed or not so as to judge whether a catalyst is supplemented or not; based on a reaction temperature value monitored by the infrared thermal imager, controlling the release of the temperature-sensitive crosslinking inhibitor, and judging whether the reaction of the finished thermal insulation material is completed or not; according to the invention, the thermal insulation effect of the material is effectively improved, and the preparation accuracy of the rigid polyurethane foam thermal insulation material is improved.

The invention belongs to the field of tunnel construction and the field of deep engineering disaster prevention and control, and provides a hydraulic and microwave combined insensitive hard rock burst prevention and control device which comprises a vehicle-mounted system, a hydraulic fracturing system and a microwave emission system. The hydraulic fracturing system is used for injecting water into the insensitive hard rock drill hole, forming a hydraulic fracturing crack on the circumferential wall surface of the insensitive hard rock drill hole, and then injecting a sensitive mineral proppant to fill the hydraulic fracturing crack; the microwave emission system is used for moving into the insensitive hard rock drill hole for microwave irradiation after the sensitive mineral proppant is injected; according to the method, hydraulic fracturing, microwave fracturing and sensitive mineral filling are combined and applied to fracturing and pressure relief of the insensitive hard rock of the deep tunnel, and due to the fact that sensitive minerals have high dielectric constants and dielectric loss factors, a good temperature rise effect can be shown under microwave irradiation.

The invention discloses a voltage transformer insulation state evaluation and dielectric self-repairing method and system. The method comprises the steps that a quantum dot array sensor is embedded in the surface of a voltage dividing capacitor unit of a CVT to obtain the capacitance value of a CVT insulation layer; a high-frequency scanning signal is injected into an end screen input port of the CVT, a local oscillator and a quantum mixer are arranged at an output port, and a dielectric loss factor is obtained; carrying out circuit analysis on the CVT insulation circuit, converting an insulation layer capacitance value and a dielectric loss factor into a capacitor breakdown number and a dielectric loss abnormal characteristic parameter, respectively taking the parameters as inputs of a WOA-based optimized DBA model, and obtaining a capacitor breakdown error variable quantity and a dielectric loss error variable quantity; and when the capacitance breakdown error variable quantity or the dielectric loss error variable quantity is not 0, judging that the insulation state of the CVT is abnormal, and triggering a self-repairing material feedback control mechanism. According to the invention, on-line evaluation of the internal insulation state of the CVT is realized by on-line monitoring whether the capacitor of the CVT is broken down and whether the dielectric loss is abnormally increased.

The invention belongs to the technical field of cable insulation evaluation, and provides an on-service cable insulation evaluation method and system fused with multivariate target optimization in order to solve the problem that it is difficult to comprehensively and accurately evaluate the cable insulation state in the prior art. The active service cable insulation evaluation method fused with multivariate target optimization comprises the following steps: determining a time domain incident signal and a frequency domain incident signal; variational mode decomposition is carried out on the measured time domain reflection signal to obtain a time domain actual reflection signal; designing a cable propagation filter by using an initial propagation constant, and estimating a time domain reflection signal by combining a frequency domain incident signal; determining a target function according to energy and position differences between the estimated time domain reflection signal and the actual time domain reflection signal, and optimizing a propagation constant in a set range to minimize a target function value under each frequency; and calculating a dielectric loss factor according to the optimized relationship between the propagation constant and the dielectric constant, and evaluating the cable insulativity.

The invention discloses a low dielectric microporous film and a manufacturing method thereof, which comprises the following steps: 1. Melting and plasticizing a thermoplastic liquid crystal polymer through an extruder, and extruding it into a film; 2. Pressing the liquid crystal polymer film obtained in the previous step with a support to obtain a composite; 3. Heating the liquid crystal polymer film composite obtained in the previous step to a certain temperature range and maintaining it for a certain time; 4. Separating the support from the heat-treated liquid crystal polymer film composite to obtain a finished liquid crystal polymer low dielectric microporous film. The low dielectric microporous film obtained by the preparation process of the invention has uniformly distributed micropores and a small dielectric loss factor at high frequencies.

To provide hollow particles in which the dielectric dissipation factor is decreased, and the performance stability in high-humidity environment is improved. Hollow particles comprising a shell, which contains a resin, and a hollow portion surrounded by the shell, wherein the hollow particles have a void ratio of 50% or more; wherein the shell contains a polymer as the resin, and a content of a crosslinkable monomer unit is 60% by mass or more in 100% by mass of all monomer units of the polymer; and wherein an aqueous dispersion of the hollow particles, which is obtained by dispersing the hollow particles with a volume of 0.35 cm3 in 100 mL of deionized water, has a pH of 6.5 or more and 7.5 or less and a conductivity of 50 μS / cm or less.

The invention relates to the technical field of power equipment state monitoring, in particular to a capacitive equipment state online evaluation method based on artificial intelligence and frequency domain interpolation, which comprises the following steps: acquiring a complex frequency spectrum of an equipment signal and extracting working condition characteristics; inputting the working condition characteristics into a working condition modulation model to generate dynamic parameters for adjusting an adversarial interpolation correction model in real time; the correction model converts frequency spectrum slices into optimized frequency spectrums, so that the dielectric loss factor is accurately calculated. Afterwards, the factor and other operation parameters are combined into a multi-dimensional time sequence, the multi-dimensional time sequence is input into a health state evaluation model, an abnormal score representing the real insulation degradation state of the equipment is output, and a diagnosis data object containing a measurement result consistency score is generated. According to the invention, the artificial intelligence model is introduced, the measurement error is dynamically compensated according to the real-time working condition, intelligent diagnosis is carried out, and the accuracy and reliability of online evaluation are remarkably improved.

The purpose of the present invention is to provide a cyclic olefin polymer resin foam sheet which maintains the stability of mechanical properties or thermal properties and achieves excellent light reflection properties and dielectric properties (low relative permittivity and low dielectric loss factor) and surface quality. The present invention obtains a cyclic olefin polymer resin foam sheet which comprises either a monomer of a cyclic olefin homopolymer (A) or a monomer of a cyclic olefin copolymer (B), or a mixture of the cyclic olefin homopolymer (A) and the cyclic olefin copolymer (B), and which has an average bubble diameter of 1-20 [mu] m. As a result, it is possible to obtain a cyclic olefin polymer resin foam sheet having excellent light reflection properties, dielectric properties (low relative dielectric constant, low dielectric loss factor) and surface quality.

The invention discloses a cable accessory aging detection method based on multi-parameter fusion wavelet transform, and the method comprises the steps: building a cable accessory AC steady-state equivalent circuit model, and obtaining the current and voltage dynamic data of a target cable accessory sample at a test temperature; decomposing the signal by using wavelet transform, setting a dynamic threshold according to the wavelet coefficient amplitude difference under each scale, and separating noise from a target signal; dielectric property change data with a high signal-to-noise ratio are extracted through signal reconstruction, and the aging state of the cable accessory is analyzed in combination with a dielectric loss angle. According to the method, the problems that a traditional method is long in detection period and prone to interference are solved, the accuracy and real-time performance of cable accessory aging and degradation monitoring are remarkably improved, and electric power safety accidents can be effectively prevented.

The invention discloses a flame-retardant epoxy resin adhesive with a low dielectric constant and a low dielectric loss factor as well as a preparation method and application of the flame-retardant epoxy resin adhesive, and belongs to the technical field of electrical insulating materials. The method comprises the following steps: uniformly mixing and stirring epoxy resin and alicyclic epoxy resin to obtain an epoxy resin mixture; uniformly stirring liquid acid anhydride, a flame retardant, an epoxy active toughening agent and an accelerant to obtain an epoxy resin curing agent; and vacuumizing and uniformly stirring the epoxy resin mixture and the epoxy resin curing agent to obtain the flame-retardant epoxy resin adhesive with low dielectric constant and low dielectric loss factor. Dielectric loss of the epoxy resin mixture is reduced through polarity complementation, and molecular chain segment polarization is reduced through an alicyclic epoxy resin ring structure. And the flame retardant is dispersed into a uniform flame-retardant phase in liquid anhydride, so that the mechanical property is prevented from being reduced. A flexibilizer and anhydride are grafted to introduce a flexible chain segment, vacuum mixing is performed to eliminate an air gap, and after gradient curing, a low dielectric constant, a low dielectric loss factor and flame retardance are obtained.

The invention relates to the technical field of power supply control, and particularly discloses a control method of a high-power isolated power supply, which realizes full-life-cycle intelligent management of an isolated power supply oil paper insulation system by constructing a complete technical chain from dielectric loss factor monitoring to PDIV drift inversion and then to insulation life prediction and operation control. The insulation state on-line monitoring unit collects the key insulation performance index of the dielectric loss factor in real time, the aging degree and the performance change of the oil paper insulation medium in the operation process can be accurately reflected, and compared with a traditional off-line detection method, the real-time performance and the accuracy of monitoring are greatly improved. The operation parameters of the equipment can be dynamically adjusted according to the real-time evaluation result of the insulation state, sudden faults caused by insulation failure are effectively avoided, and the safety and reliability of operation of the equipment are remarkably improved.

The present invention provides a modified polyphenylene ether resin foam sheet which has good moldability, a very low relative dielectric constant and a very low dielectric loss factor at high frequencies, self-extinguishing properties or flame retardancy imparted thereto, and excellent surface properties. This modified polyphenylene ether resin foam sheet is obtained by foaming a modified polyphenylene ether resin containing a flame retardant, and has a relative dielectric constant of 1.10-2.00 and a dielectric loss factor (tan [delta]) in the range of 0.5 * 10 <-3 > to 2.5 * 10 <-3 >. The modified polyphenylene ether resin foamed sheet according to the present invention is a modified polyphenylene ether resin foamed sheet in which a modified polyphenylene ether resin foamed resin containing both a halogen-based flame retardant and a phosphorus-based flame retardant having a specific weight-average molecular weight is foamed. And the average bubble diameter and the bubble number density of the modified polyphenylene ether resin foam sheet are within predetermined ranges.

The invention relates to the technical field of ceramic capacitors, in particular to an X6S characteristic high-capacity multilayer chip ceramic capacitor and a preparation method thereof, the capacitor is formed by overlapping a dielectric ceramic layer and an inner electrode, and two ends of the capacitor are provided with outer electrodes which are connected with the inner electrode. The dielectric ceramic layer is formed by the dielectric ceramic material. According to the preparation method, barium titanate particles with specific average particle size, a doping agent with specific composition and specific preparation conditions are utilized to prepare the multilayer chip ceramic capacitor. Compared with the prior art, the dielectric material and the corresponding capacitor have both X6S characteristic temperature stability and high capacity, and still have high IR characteristic and low dielectric loss factor (tan delta) even in a high-temperature environment.

The invention discloses a capacitor voltage transformer insulation fault diagnosis analysis method and system, and relates to the technical field of electrical equipment diagnos.The system obtains key electrical data of a capacitor voltage transformer in real time and transmits the data to a data processing module for preprocessing and feature extraction to obtain an insulation health feature set. The method comprises the following steps of: acquiring an insulation health characteristic set, storing the insulation health characteristic set in a database, calculating a dielectric loss factor influence factor Jsh, a dielectric constant influence factor Jdc, an electromagnetic radiation influence factor Dem, an electrical noise influence factor Ned and a discharge influence factor Pdd by utilizing the insulation health characteristic set, and summarizing and calculating to generate a multi-dimensional health index HI, thereby providing a basis for fault diagnosis and early warning of a system. And the evaluation and early warning module performs evaluation according to a preset first fault threshold G1 and a preset second fault threshold G2, and triggers a corresponding early warning mechanism, thereby completing a complete task chain from data acquisition to fault early warning.

The invention relates to a high-mica granite machine-made sandstone concrete quality control system. The high-mica granite machine-made sandstone concrete quality control system comprises the following steps that S1, pretreated granite aggregate is conveyed into double-cavity type microwave irradiation equipment; s2, the dielectric constant of the granite aggregate is detected through double-cavity microwave irradiation equipment, high-frequency treatment is conducted on the granite aggregate with the dielectric loss factor larger than 0.05, and low-frequency treatment is conducted on the granite aggregate with the dielectric loss factor smaller than or equal to 0.05; s3, the granite aggregate subjected to microwave treatment is conveyed into liquid nitrogen spraying equipment, microcracks are generated between mica layers through thermal shock stress, and mica interlayer stripping is triggered; and S4, the granite aggregate is recovered to the room temperature through temperature recovery equipment, and the granite aggregate is separated from mica on the granite aggregate through winnowing impurity removal equipment. The microwave-liquid nitrogen synergistic stripping technology is adopted, the content of mica in the high-mica granite is reduced, and control over the quality of the granite machine-made gravel concrete is achieved.

The invention provides a group phase error guided abnormal dielectric loss diagnosis method for a capacitor voltage transformer (CVT). The method comprises the following steps: acquiring secondary voltage initial phase data of an in-phase capacitor voltage transformer (CVT) at the same voltage level in a transformer substation; performing feature extraction on the secondary voltage initial phase data, and constructing a dielectric loss phase offset feature quantity based on wavelet decomposition reconstruction and a time sequence decomposition algorithm; density clustering is carried out on the dielectric loss phase offset characteristic quantity, and an abnormal CVT is positioned; and constructing a dielectric loss phase error characteristic quantity by using secondary voltage initial phase data of the normal CVT, and calculating a dielectric loss factor of the abnormal CVT. According to the dielectric loss abnormity diagnosis method provided by the invention, the dependence of periodic power failure can be eliminated, the positioning and abnormity degree monitoring of the dielectric loss abnormity CVT can be realized without additionally arranging a sensor, the insulation degradation state of the capacitor unit of the CVT can be evaluated in real time, the further development of potential insulation faults is avoided, and the safe and stable operation of the CVT and a power system is ensured.

The present invention relates to a benzocyclobutene resin, a resin composition, and uses thereof. The benzocyclobutene resin comprises at least one structural unit A and at least one structural unit B, where structural unit A has a structure represented by Formula I and structural unit B has a structure represented by Formula II. The benzocyclobutene resin has an all-hydrocarbon structure and has a sufficiently low dielectric constant Dk and dielectric dissipation factor Df. The benzocyclobutene resin also has a high glass transition temperature, low water absorption, good heat resistance and moist heat resistance, excellent dielectric properties, high modulus, and mechanical properties. Furthermore, the benzocyclobutene resin also has good processability, fully meeting the performance requirements for resin materials in high-performance PCBs.

The invention relates to the technical field of cables, and particularly provides an RTDS-based XLPE cable aging influence analysis method and system, and the method comprises the steps: building a RTDS-based hybrid operation system simulation model; acquiring a plurality of XLPE insulation aging samples at different time; measuring the insulation resistance of each XLPE insulation aging sample, and calculating the volume resistivity; measuring the dielectric constant and the dielectric loss factor of each XLPE insulation aging sample; inputting into a simulation model, and after the simulation model operates under different working conditions, outputting cable parameters, active power, key point three-phase phasor voltage data and key point three-phase phasor current data of each insulation aging sample; obtaining the influence of cable aging on the maximum transmission power; and obtaining the imbalance influence of the cable aging on the system. The influence of XLPE cable aging on a hybrid operation system is comprehensively explored, and a key basis is provided for operation maintenance, optimization and upgrading of a power system.

The invention provides a switch cabinet solid insulating material performance detection method based on temperature detection, which comprises the following steps: constructing a gridding detection matrix on the surface of an insulating material, and collecting temperature data of each monitoring area through a passive radio frequency sensor to establish an initial temperature field data set; adopting a deep learning algorithm to calculate a temperature gradient value and thermal stress distribution, and establishing a temperature-stress coupling model; calculating a dielectric loss factor and a local ionization degree based on the model, constructing a performance degradation index and establishing a degradation prediction model; combining a recurrent neural network and an attention mechanism to predict a performance evolution trajectory, and setting a multi-stage dynamic early warning threshold value; when early warning is triggered, a sampling strategy is adaptively adjusted, model parameters are optimized through real-time data, and an intelligent diagnosis report containing state evaluation, life prediction and maintenance suggestions is generated. According to the invention, accurate prediction and intelligent diagnosis of performance degradation of the solid insulating material can be realized, and the real-time performance and reliability of monitoring the insulation state of the switch cabinet are improved.

The invention discloses a high-voltage power transmission and transformation line equipment insulation aging monitoring method and system, and relates to the technical field of equipment insulation state monitoring, and the method comprises the steps: extracting voltage time-frequency features in a high-voltage time sequence data set to generate a voltage time-frequency feature matrix, and outputting a dual-channel feature pair through separating a current mode component of a current signal; calling standard parameters of the high-voltage equipment, calculating a dielectric loss factor according to the dual-channel characteristic pair, and eliminating measurement deviation through a quantum tunneling effect to obtain a corrected dielectric loss factor; the frequency response characteristic of the corrected dielectric loss factor is analyzed, the aging type is judged by identifying an offset mode, and the aging degree coefficient of the equipment is calculated to divide the state level; and generating a processing scheme based on the aging type, obtaining an execution priority according to the state level, and generating a maintenance instruction set by binding a timestamp. Through the quantum tunneling effect, the response aging is optimized in combination with the dynamic maintenance decision, and closed-loop management of insulation aging from accurate monitoring to active protection is realized.

The present invention provides: a fluororesin film for a multilayer structure substrate, with which it is possible to produce, without using an adhesive, a multilayer structure substrate that has less transmission loss during high-frequency communication; a method for producing the fluororesin film for a multilayer structure substrate; a copper-clad laminate; a multilayer structure substrate; a method for producing a multilayer structure substrate; and a circuit board.　Disclosed is a fluororesin film for a multilayer structure substrate, which contains a fluororesin and an inorganic filler that is dispersed in the fluororesin, wherein the dielectric loss tangent Df is 0.0013 or less and the loss elastic modulus at a temperature of 350°C is 1.6 MPa or more. The fluororesin film for a multilayer structure substrate is used for the purpose of producing a multilayer structure substrate by bonding, without using an adhesive, a plurality of copper-clad laminates that have a two-layer structure in which a copper foil and the fluororesin film for a multilayer structure substrate are laminated.

To provide: a polycarbonate resin which shows a low dielectric constant and a low dielectric loss tangent and has excellent heat resistance; a curable resin composition which comprises the polycarbonate resin, shows a low dielectric constant and a low dielectric loss tangent and has excellent transparency and good dimension stability; and a cured material obtained by curing the curable resin composition.SOLUTION: A polycarbonate resin comprises a structural unit (A) represented by the following formula (1), where the ratio of the structural unit (A) based on all structural units is 70 mol% or more and the following (a) and (b) are satisfied: (a) the polycarbonate resin has a weight average molecular weight, as measured by gel permeation chromatography, in the range of 5,000 to 15,000; and (b) the polycarbonate resin has, as measured according to a cavity resonator perturbation method at 10 GHz, a relative dielectric constant in the range of 2.30-2.70 and a dielectric loss tangent in the range of 0.0001-0.0030.SELECTED DRAWING: None

Embodiments according to the present invention include a composition comprising a polymer formed from polycyclic olefin monomers wherein at least one monomer comprises, as desired, other unpolymerized ethylene bonds, an organophosphorus compound, as desired, hexagonal boron nitride, a crosslinking agent, a free radical initiator, a tackifier, and one or more suitable additives. The compositions of the present invention are capable of forming various three-dimensional insulators, such as films, when exposed to suitable high temperatures. Objects formed from the composition of the present invention exhibit low dielectric constant, low loss characteristics, flame retardancy, and extremely high thermal characteristics that have not been achieved up to now. The composition of the present invention may further contain one or more organic or inorganic filler materials that provide improved thermomechanical properties in addition to excellent thermal and dielectric properties. The composition of the present invention can be used in various applications, including as an insulating material for millimeter wave radar antennas, and the like. The film formed from the composition of the present invention has a UL-94V-0 rating, a dielectric constant (Dk) of less than 2.7, and a dielectric loss factor (Df) of less than 0.0009.