161 results about "Thermal distortion" patented technology

The invention provides an infrared thermal imaging building facade defect intelligent diagnosis method based on multi-modal fusion, and relates to the technical field of building detection.The method comprises the steps that infrared thermal imaging, visible light images and three-dimensional point cloud data are synchronously collected to construct a multi-modal data set; segmenting a hot spot region by adopting an improved morphological watershed algorithm and extracting contour and temperature features; recognizing a surface crack and peeling area based on a double-branch attention network to generate a texture defect feature map; curvature distribution and thermal deformation gradient are calculated through space registration constrained by a heat conduction equation; multi-source features are fused to calculate a hot spot form dispersion TSMD and a structure risk quantification factor SRQF; constructing a defect risk decision matrix to output defect types, positions and risk levels; and superposing the diagnosis result to a BIM model to generate a three-dimensional visual report and predicting a thermodynamic evolution trend. The multi-modal data collaborative analysis is realized, the defect risk is accurately quantified, and the problems of poor anti-interference performance, inaccurate segmentation and large registration error of a traditional method are solved.

The invention relates to the technical field of stamping part detection, and discloses a stamping part size and defect synchronous detection method and system. The method comprises the steps that the multi-sensor measurement module is used for collecting line laser scanning morphology data, infrared thermal image strain data and structured light projection contour data of a stamping part; multi-sensor data registration is achieved through a feature point matching algorithm, and a three-dimensional space coordinate mapping relation is generated; calculating the thermal expansion compensation amount of the material in combination with a thermal deformation correction model; filtering the structured light projection contour data, and extracting key contour feature points and defect region boundaries; inputting the related data into a multi-source data fusion model to obtain a dimensional deviation and defect fusion detection result; based on this, a measurement path is updated through a dynamic path planning algorithm, and a synchronous detection scheme is output. The device can synchronously detect the size and defect of the stamping part, improves the detection precision and efficiency, achieves the quality grade classification, and is high in adaptability.

The invention discloses a multi-welding-robot collaborative operation system based on digital twinning, and belongs to the technical field of intelligent manufacturing and robot control, the system comprises a physical space module, a virtual space module, a twinning data layer and a control module, and communication connection is established among the physical space module, the virtual space module, the twinning data layer and the control module; the physical space module comprises a plurality of welding robots, a sensor group and a data transmission network; the virtual space module comprises a multi-welding robot twinning body and a workpiece twinning model; the twin data layer is used for connecting the physical space module and the virtual space module; and the control module generates a welding path optimization scheme, a multi-welding-robot collaborative collision avoidance strategy and a welding quality feedback control instruction based on the twin data layer. According to the method, a closed-loop control framework of'physical-virtual 'bidirectional mapping is constructed, so that dynamic collaborative optimization of multi-robot motion trails, welding seam forming and thermal deformation is realized.

The invention provides a cold rolling mill roller micro displacement real-time monitoring and dynamic compensation control early warning method, which relates to the technical field of monitoring control, and comprises the following steps: monitoring roller temperature field distribution through infrared thermal imaging, establishing a mapping relation between displacement and temperature gradient, calculating thermal deformation and compensating displacement drift; constructing a rolling mill equipment domain knowledge graph and a diagnosis rule base, and performing fault diagnosis by utilizing graph embedding learning; and generating a compensation optimization strategy and establishing fuzzy correlation mapping to calculate an optimal parameter. According to the method, accurate monitoring and compensation of the micro displacement of the roller are achieved, and the equipment fault early warning capacity and the rolling precision are improved.

The invention belongs to the technical field of space remote sensing surveying and mapping, and particularly relates to a monitoring system and method for a front and rear view visual axis included angle and absolute direction of a surveying and mapping camera. The method comprises the following steps: S1, through side sway of a satellite platform, taking a time for sky imaging calibration as a reference time; s2, calculating a rotation matrix from a front and rear view ground camera measurement coordinate system to a star camera coordinate system at a reference moment; s3, calculating respective thermal deformation matrixes of the star camera coordinate system, the front-view camera measurement coordinate system and the rear-view camera measurement coordinate system; s4, obtaining a real-time rotation matrix from the measurement coordinate system of the front-view camera to the coordinate system of the star camera and a real-time rotation matrix from the measurement coordinate system of the rear-view camera to the coordinate system of the star camera at the measurement moment; and S5, carrying out arc cosine calculation on the two absolute pointing vectors to obtain a visual axis included angle between the front-view camera and the rear-view camera at the measurement moment. According to the invention, while the geometric accuracy of the surveying and mapping camera is ensured, the real-time performance of measurement and the comprehensiveness of subsystem monitoring are realized at the same time.

The invention relates to the technical field of industrial CT, discloses an automatic light beam centering method and system based on industrial CT, and aims at solving the technical defects that in the welding process, due to thermal deformation, the centering precision of a light beam and a welding seam is low, and the reliability is poor. The method comprises the steps that before welding, three-dimensional CT volume data of a workpiece to be welded are obtained to generate a nominal welding seam trajectory; establishing a thermal-mechanical coupling finite element analysis model, and simulating a welding process to generate a predicted thermal teratogenic field map; superimposing the predicted thermal teratogenesis to a nominal trajectory to generate a dynamic welding trajectory; in the welding process, a laser contour measurement sensor is driven to collect three-dimensional contour data of a welding seam area in real time and extract the actual welding seam center position; and establishing a Kalman filtering state observer. By the adoption of the technical scheme, continuous and high-precision tracking of the center position of the welding seam can be achieved, the influence of thermal teratogenesis is overcome, and the welding quality and the yield of complex structural parts are remarkably improved.

The invention discloses an optical-mechanical-thermal integration analysis method for a space low-temperature infrared camera, which belongs to the technical field of space optical remote sensing and comprises the following steps of: when a low-temperature infrared optical system is designed, firstly, performing structural modeling on parameters of the infrared low-temperature optical system in a normal-temperature state, and establishing a corresponding structural and thermal control analysis finite element model based on a structural model; a thermal control analysis temperature field is used as structural finite element analysis input, and structural simulation analysis is performed on changes of the mirror surface precision and the mirror surface position of the optical system; processing the precision and position change data into a format which can be identified by low-temperature optical system design software, and importing the data into the optical design software; the optical performance of the low-temperature optical system at low temperature is evaluated through optical design software, the stability of interior orientation elements is evaluated, and the reliability of the low-temperature optical system is improved; the low-temperature optical system provides guidance from normal-temperature adjustment test to low-temperature use; the problem that the performance of a low-temperature infrared optical system is difficult to evaluate and predict under large thermal deformation is solved.

The invention relates to the technical field of ceramic intelligent manufacturing, in particular to a ceramic firing process thermal deformation intelligent prediction and self-adaptive temperature precise regulation and control system, which comprises a multi-source sensing module (a thermal infrared camera array, a temperature sensor, a laser displacement meter and a powder characteristic analyzer); a hybrid prediction model (a space-time convolutional neural network constrained by a physical mechanism); and the self-adaptive temperature control actuator comprises a partitioned burner group, a quenching / slow cooling pipeline and a gas-air volume decoupling controller. According to the scheme, through a multi-mode perception-hybrid modeling-dynamic optimization full-process closed-loop architecture, the single-point technical limitation of existing patents is broken through, and the zero-defect precise manufacturing target of ceramic firing is achieved.

The invention discloses a multi-source 5G message video cooperative monitoring method and system, particularly relates to the technical field of video monitoring, and is used for solving the problems of multi-camera calibration parameter misalignment and video fusion dislocation caused by thermal deformation asynchronism in the prior art. A temperature sensor is arranged on an industrial camera supporting structure, a thermal deformation three-dimensional displacement compensation vector is calculated, a preferential transmission object is marked according to the displacement gradient of an adjacent camera and a material heat conductivity coefficient threshold value, and the displacement vector is transmitted to an edge calculation node according to the priority through a 5G message. All displacement data are fused at a node end to dynamically correct space calibration parameters, a collaborative calibration matrix is generated, and finally, the matrix is utilized to perform real-time registration on multiple paths of video streams and perform workpiece defect detection, so that the geometric consistency of a multi-camera system in a thermal deformation environment is guaranteed, and the visual detection precision and stability are improved.

The invention relates to the technical field of gas station safety risk assessment, in particular to a gas station safety risk assessment method and system. The gas station global infrared image is acquired in real time by deploying the multi-band infrared imaging array, dark current compensation, gain correction and atmospheric transmittance calibration are combined, the oil gas concentration detection precision is remarkably improved, and based on the homography matrix dynamic coordinate alignment technology, the oil gas concentration detection precision is greatly improved by utilizing mark point re-projection error optimization and feature point optical flow tracking. The problem of coordinate drifting caused by thermal deformation is solved, it is ensured that the space positioning error is continuously lower than 2 pixels, and by combining time sequence concentration field construction and a hybrid prediction model, precise deduction of an oil gas concentration field at any moment in the future is achieved, real-time monitoring of a gas station is achieved, and fire blast accidents caused by detection lag are eradicated from the source; the technical problem that potential safety risks are difficult to discover in time through an existing method for monitoring the oil gas concentration of the gas station is solved.

The invention provides an error modeling method and system based on a CCD camera alignment assembly system, and relates to the technical field of high-precision electronic manufacturing assembly, and the method comprises the steps: obtaining internal parameters and external parameters of a CCD camera through calibration, building a camera and mechanical coordinate system conversion relation, and constructing a collaborative calibration error tree; controlling the motion platform to move, synchronously acquiring pose and environment temperature data, decomposing vibration and thermal deformation error components through time-frequency analysis, and superposing the vibration and thermal deformation error components into dynamic errors; extracting a positioning error based on the pose data, and constructing a mechanical-optical coupling error spectrum in combination with the distortion parameters; and finally, fusing the collaborative calibration error tree, the dynamic error and the coupling error atlas to generate a global error atlas, and completing alignment assembly system error modeling based on the CCD camera. According to the invention, the precision and applicability of error modeling are improved.

The invention relates to the technical field of microfluidics, in particular to a carbon quantum dot hydrothermal synthesis system and method based on microfluidics thermal field equilibrium, which comprises a thermal field sensing module, an equilibrium analysis module, a thermal field coupling module, an equilibrium regulation and control module and a closed loop execution module, the thermal field sensing module is used for collecting array temperature on the surface of the micro-fluidic chip and fluid pressure data in a flow channel, and reconstructing three-dimensional temperature distribution in the micro-channel through a multi-physics field coupling algorithm to obtain a real-time thermal field state matrix. According to the invention, by constructing a multi-physical field coupling algorithm of a thermocouple array-flow resistance model-conjugate heat transfer equation, the three-dimensional temperature distribution of the fluid in the micro-channel can be inverted and reconstructed by using surface temperature and pressure data, so that a control system can pass through a chip matrix, and the temperature of the fluid in the micro-channel can be controlled. The radial temperature gradient and the axial thermal distortion in the fluid are directly sensed, the hysteresis and the error of sensor measurement are eliminated, and a real physical basis is provided for accurate temperature control.

The invention discloses a vacuum coating process parameter adaptive adjustment method and system, the system comprises a data acquisition layer, a DRL intelligent agent and an execution layer, the DRL intelligent agent comprises a strategy network and an evaluation network, the DRL intelligent agent adopts a double-loop learning mechanism, and the DRL intelligent agent comprises an offline imitation learning module and an online reinforcement learning module. According to the technical scheme, through DRL decoupling multi-roller coupling, the tension fluctuation control precision is obviously improved compared with traditional PID control; factors such as roller diameter thermal deformation and environmental disturbance are automatically compensated through an online learning mechanism, the dynamic adaptability is enhanced, and manual adjustment is not needed; in addition, closed-loop control of visual defect detection is fused in the technical scheme, so that the film thickness uniformity is greatly improved, and the wrinkle defect rate is obviously reduced.

The invention relates to a light beam scanning path generation method for additive manufacturing, application of the light beam scanning path generation method and electronic equipment. The method comprises the following steps: dividing at least one layer of scanning area to be scanned into a plurality of sub-areas; a heat accumulation risk value and a stress evaluation value of each sub-region are determined, weights are given to the heat accumulation risk values and the stress evaluation values to construct a weight matrix, and the heat accumulation risk values are determined according to the distance from the sub-regions to the layer boundary and the temperature gradient; and according to the weight matrix, sorting the scanning sequences of the plurality of sub-regions by taking the minimum heat accumulation risk value as a first optimization strategy and taking the balance stress evaluation value as a second optimization strategy, and generating a light beam scanning path matched with the sorting, thereby realizing more optimized scanning path planning. The forming quality, the size precision and the mechanical property of the part are improved, and the risks of thermal deformation and residual stress in the manufacturing process are reduced.

The invention discloses a wind power cabin fire early warning device and a wind power cabin fire early warning method based on multispectral fusion, and aims at the defects of high false alarm rate, insufficient motion artifact compensation and transient fire capture lag of single-spectrum detection in the prior art to construct a multispectral collaborative analysis architecture. A thermal deformation dynamic compensation model is constructed in combination with a main shaft rotating speed signal, and sub-pixel-level motion artifact elimination is achieved; an improved three-dimensional convolutional neural network is adopted to extract smoke diffusion trajectory, temperature conduction trend and arc pulse features, and multi-source feature adaptive fusion is realized through a cross-modal attention mechanism and a graph neural network; and establishing an oil stain reflection spectrum fingerprint database for false alarm filtering, and finally triggering third-level early warning according to an environment self-adaptive threshold value. According to the method, the electrical short circuit detection time can be greatly shortened, the false alarm rate is effectively reduced, the smoldering fire is warned in advance, and the industrial problem of accurate recognition of early fire in a complex cabin environment is solved.

The invention provides a thermal distortion control method and system for ship sheet welding, and relates to the technical field of welding control, and the method comprises the steps: carrying out the digital twin modeling of the welding process of welding equipment, and executing the thermal input distribution simulation of a welding parameter set; thermal sensitive fitting of thermal input is carried out on the basic data of the thin plate; performing thermal sensitivity analysis according to the thermal distortion historical data; establishing a target function according to mapping of the first area thermal sensitivity, the second area thermal sensitivity, the welding parameter set and the thermal input distribution simulation; and after the parameter set is initialized, region adaptation evaluation of the parameter set is carried out by using a target function, iterative optimization of the parameter set is executed, and welding management is carried out according to an optimization result. Through the method, the technical problem that in the prior art, a welding control strategy is difficult to adapt to the local thermal response difference of the structure can be solved, the technical target of accurate recognition of the thermal sensitive area is achieved, and the technical effect of improving the welding efficiency is achieved.

The invention relates to the technical field of printing machinery, in particular to a screen printing high-precision positioning method based on machine vision, which comprises the following steps: step 1, constructing a collaborative calibration marking system; step 2, dynamic acquisition of deformation data: synchronously acquiring images of the first type of mark points and the second type of targets in a set time window after the scraper is separated from the screen printing plate; the mark center is positioned through a sub-pixel edge detection algorithm, and the difference value between the actual distance and the nominal distance is calculated; 3, thermal-mechanical coupling compensation parameters are generated; 4, multi-degree-of-freedom cooperative positioning is carried out, wherein motion control instructions of the substrate bearing table and the screen tensioning mechanism are generated according to the translation compensation amount and the rotation compensation angle; before the next printing period starts, positioning adjustment is completed, and the overlap ratio of the marks is verified; and 5, carrying out iterative optimization on the closed-loop error. Efficient sensing, accurate modeling and real-time compensation of multi-source errors such as thermal deformation, force-induced deformation, environmental disturbance and material characteristics in the silk-screen printing process are achieved.

An example apparatus includes: a camera to record an image; memory to store instructions; and a processor in circuit with the memory, the processor to execute the instructions to: determine a depth based on: (a) the image and (b) a calibration parameter of the camera; and adjust the calibration parameter based on a temperature of the camera and the depth.

The invention discloses a double-station solder ball welding machine correction system based on machine vision and multi-axis cooperation, and belongs to the field of welding equipment correction. A double-station solder ball welding machine correction system based on machine vision and multi-axis cooperation comprises an image acquisition unit, a visual processing unit, a multi-axis control unit and a cooperative scheduling unit. The problems that in existing double-station welding equipment, due to the fact that a single-station vision scheme is simply copied, the equipment takt is slow, the productivity is limited, and comprehensive compensation for dynamic errors and optical environment differences under multi-station collaborative operation is lacked are solved. Compared with the prior art, the double-station equipment has the advantages that overlapped execution of visual correction and welding operation is achieved, and feed-forward and online compensation mechanisms for dynamic errors such as thermal deformation and vibration are integrated, so that high-precision positioning is guaranteed, and the production efficiency and the operation reliability of the double-station equipment are remarkably improved.

The invention discloses a method for identifying and judging violation of fire operation based on machine vision, which belongs to the technical field of fire operation identification, and specifically comprises the following steps: acquiring infrared thermal imaging data and optical image data of a fire operation area, and obtaining surface temperature distribution and outline of a fire tool; for the infrared thermal imaging data, extracting temperature gradient change characteristics of a heating area of the fire tool, and generating a dynamic deformation track model according to the temperature gradient change characteristics; for the optical image data, through contour difference analysis between continuous frames, extracting the contour offset of the hot tool after thermal deformation, and establishing a corresponding relation on a time sequence with the dynamic deformation track model; when the corresponding relation between the outline offset of the fire operation tool and the temperature gradient change characteristics of the fire operation tool deviates from a preset correlation threshold range, judging that the operation is illegal operation; according to the invention, the capability of judging complex violation behaviors is enhanced.

The invention discloses a gas turbine flame detector installation device and a light path determination method and system, and relates to the technical field of gas turbine safety monitoring and combustion diagnosis. The mounting device is connected with a combustion pressure cylinder and a flame tube through a displacement compensation assembly with a floating sealing structure, and can automatically absorb the thermal expansion difference between the combustion pressure cylinder and the flame tube and limit vibration disengagement so as to provide long-term stable support for a light guide tube; the invention relates to a light path determination method, which comprises the following steps: analyzing a combustion grading strategy, simulating and positioning a radiation core, primarily selecting a light path by taking a maximum coverage area as a criterion, carrying out dynamic space interference check, and finally outputting an accurate mounting position coordinate. The light path design method solves the dual technical problems that an experience-dependent light path design method is not accurate in the arrangement of the flame detector of the heavy-duty gas turbine, and the installation structure is damaged or the light path deviates easily due to thermal deformation.

This invention provides an intelligent diagnostic method for building facade defects based on multimodal fusion using infrared thermal imaging, belonging to the field of building inspection technology. The method includes: simultaneously acquiring infrared thermal images, visible light images, and 3D point cloud data to construct a multimodal dataset; segmenting hot spot regions using an improved morphological watershed algorithm and extracting contour and temperature features; identifying surface cracks and spalling areas using a bi-branch attention network to generate texture defect feature maps; calculating curvature distribution and thermal deformation gradient through spatial registration constrained by the heat conduction equation; fusing multi-source features to calculate the hot spot morphological dispersion degree (TSMD) and structural risk quantification factor (SRQF); constructing a defect risk decision matrix to output defect type, location, and risk level; and overlaying the diagnostic results onto a BIM model to generate a 3D visualization report and predict thermodynamic evolution trends. This invention achieves collaborative analysis of multimodal data, accurately quantifies defect risks, and solves the problems of poor anti-interference, inaccurate segmentation, and large registration errors in traditional methods.

The application discloses a galvanometer scanning distortion real-time correction method and system based on visual feedback, relates to the technical field of galvanometer scanning, and comprises a preset standard scanning track, acquisition of ideal scanning coordinates of each feature point in the standard scanning track under a galvanometer scanning coordinate system, and a track image corresponding to a moment and galvanometer angle data when the standard scanning track is scanned by the galvanometer. The application compensates inherent static distortion caused by optical geometry and assembly error by means of an initial static linear distortion correction table and an initial static nonlinear distortion correction table, and when irreversible thermal drift in dynamic thermal distortion accumulates beyond the standard, the increment is automatically updated to the static correction table, permanent deformation is converted into static compensation, and the reversible thermal distortion part is automatically rolled back when the galvanometer is stopped and cooled, so that the high-efficiency elimination capacity of static calibration on inherent distortion is retained, and irreversible deformation generated by long-term thermal cycle can be dynamically adapted.

This invention relates to the field of semiconductor lithography error correction technology, specifically a lithography machine error correction method and system. The method includes: deploying an interferometric sampling array to capture the initial wavefront phase distribution to obtain a reference wavefront field; using a thermal drift separation operator to remove the slowly varying drift component caused by environmental thermal effects; and using multidimensional convolution matching between the residual wavefront field and a nominal lens aberration feature library to identify static aberration patterns, generating an inverse aberration compensation driving signal. A time-varying trend predictor based on a Kalman filter framework is used to continuously estimate future thermal drift, which is then superimposed with the inverse aberration compensation driving signal to synthesize a composite correction instruction set. Based on this instruction set, the workpiece stage positioning system and the projection lens focusing system are jointly kinematically adjusted to offset the overlay error jointly introduced by aberrations and thermal deformation. This method can separate the thermal drift component, improve aberration recognition accuracy, and achieve feedforward thermal drift correction and dual-system coordinated adjustment.

The application belongs to the technical field of laser optics, and particularly relates to a heat distortion resistant mirror seat for a high-power laser system; the mirror seat comprises a seat body, a plurality of convex bosses for limiting a mirror are arranged on the inner side wall of the seat body, a contact plate for bearing the mirror is arranged in the frame of the seat body, a group of heat dissipation fins are arranged on the bottom of the contact plate, flexible grooves and threaded holes are respectively arranged in the frame of the seat body at positions corresponding to the convex bosses, a flexible pressing ring is fixed to the top end of the seat body through the threaded holes and is used for pressing the mirror, mounting holes corresponding to the threaded holes are arranged on the flexible pressing ring, and a flexible groove of the pressing ring is arranged on the inner side of each mounting hole; the application is suitable for the working condition that the temperature of the mirror continuously rises, can effectively reduce the temperature level of the mirror, and effectively solves the mirror surface shape distortion problem caused by the fact that the mirror seat extrudes the mirror due to the mismatch of the thermal expansion coefficients of the mirror seat and the mirror.

The invention provides an electron beam processing thermal deformation determination method and a processing method, and the determination method comprises the steps: carrying out the simulation of a processing object, obtaining a simulation model, and enabling the simulation model to represent the geometric features, material features and processing boundary conditions of the processing object; determining a transient temperature heat source item of the processing object, wherein the transient temperature heat source item comprises description of an electron beam scanning path and scanning speed, description of electron beam processing technological parameters, and description of a scattering path and energy absorption distribution of an electron beam in a material; the transient temperature heat source item is substituted into the simulation model, and three-dimensional temperature distribution information of the machined object at different moments in the machining process is determined; and determining the thermal deformation of any scanning point on the processing surface at different moments based on the three-dimensional temperature distribution information of the processing object at different moments.

To configure a mask unit MU that restricts a treatment range for each second substrate and includes a frame part 7 covering each side S2 excluding each side S1 facing the second substrate and a beam part 8 covering each side facing each second substrate so as to suppress a shadow effect attributed to a thermal warpage as much as possible, when multiple pieces of second substrate Sg1, Sg2 smaller than a first substrate are parallelly arranged at an interval on a substrate arrangement surface 31 of a stage body 3 capable of arranging a rectangular first substrate.SOLUTION: A beam part has a base plate 81 that is freely stored in a groove 33 recessed on a substrate arrangement surface and multiple beam plate pieces 82 that are arranged in a line in an upper edge part of the base plate projected upward from the substrate arrangement surface in a longitudinal direction of the beam part. A pair of attachment plates 83 is suspended on a lower surface of each beam plate piece, and the base plate and the beam plate pieces are connected with a gap in a vertical direction through both attachment plates.SELECTED DRAWING: Figure 3

The present disclosure provides an image pickup apparatus capable of reducing an optical axis shift of an optical lens with respect to an image pickup element caused by thermal deformation of a component. An imaging device is provided with a lens holder (110), a substrate (120), and a bonding portion (130). A lens holder (110) has: a lens barrel (111) that holds an optical lens (101); and a holder base section (112) that supports the lens barrel (111), is joined to the substrate (120) via a joining section (130), and surrounds the imaging element (102). The substrate (120) has: a narrow section (121) that surrounds a part of the outer periphery of the imaging element (102) on the inside of the holder base section (112); and a wide section (122) that is wider than the narrow section (121) and surrounds the remainder of the outer periphery of the imaging element (102) on the inside of the holder base (112). The imaging device is provided with a displacement adjustment unit (160) that makes the relative displacement of the lens barrel (111) and the substrate (120) in the direction in which the imaging element moves from the narrow section (121) to the wide section (122) easier than the relative displacement of the lens barrel (111) and the substrate (120) in the direction in which the imaging element moves from the wide section (122) to the narrow section (121).

Systems and methods are described for reducing thermal distortion in an optical display for use in a 3D stereoscopic video conferencing system. The thermal distortion can arise from operation of an array of LEDs in a back light unit of the display. Forming cut-outs in the display can interrupt the flow of heat to maintain geometric stability of precision cameras mounted to the display edges while also allowing sufficient heat dissipation paths for the LEDs. Structural reinforcement bars can be added, and an opaque film can be used to block light loss from the LEDs.

A method for manufacturing an optical element (1) of an optical system, which optical element has a target surface shape (1a) and / or a target optical effect during operation of the optical system, wherein the optical element (1) has an average operating temperature (F), which is controlled by at least one thermal manipulator (2) during operation of the optical system. The invention also relates to an optical element for an optical system and to an optical system for a semiconductor technology device.