48 results about "Thermal optimization" patented technology

The invention discloses an optimization design method of a radial-flow-type hydraulic turbine. In the design method, a unitary thermal optimization design, a three-dimensional modeling method of a through-flow part and a complete machine optimization platform are utilized, wherein the optimization platform comprises four modules, namely nozzle blade and impeller blade parameterization, a coevolution genetic algorithm, a self-adaption approximation model, and autocall of CFD (computational fluid dynamics). Through the parameterization, characteristic variables describing impeller blades, nozzle blade patterns and installation angle variation are extracted. The optimization target is to enhance the overall efficiency and expansion ratio of the hydraulic turbine simultaneously under a complete machine environment. The optimization platform can be used for reducing the calculated amount and accelerating the convergence by virtue of the following measures: the approximation model is built and updated by a dynamic sampling strategy, and enough prediction accuracy is obtained by virtue of less CFD calculation; and a complicated multivariable optimization problem is decomposed into a plurality of relatively independent and interactive subproblems by virtue of the coevolution genetic algorithm, so that not only can the characteristics of the original problem be maintained, but also the calculated amount is reduced effectively.

Method for optimising the movement performance of an industrial robot for a current movement path with respect to thermal load on the driving system of the robot, wherein the method comprises the following steps: for at least one component in the driving system, the thermal load is calculated for the whole or parts of the movement path if the calculated thermal load is compared with a maximally allowed load for the component; and dependent on said comparison, a course of accelerations and velocities for the current movement path are adjusted.

A flashlight assembly includes a bistable safety bail to prevent inadvertent depression of an operational push button switch. The flashlight assembly further includes a bistable pivoting mode selection lever which controls operational modes of the flashlight. Further, the flashlight operates with a thermal optimization circuit which automatically, over time, reduces the duty cycle of the control circuit to reduce the temperature of the LED junction, improve LED performance and increase battery life.

A substrate, resonant structures, a ground plane, a thermal optimization layer and energy transfer structures are combined to receive and convert incoming electromagnetic radiation into electrical energy. This combination of materials may be housed in various configurations near heat sources to maximize surface area for heat contact as well as cooling. All structures are designed so as to be manufactured in low cost processes such as roll to roll.

The invention discloses a rotating speed control system and a method of a server fan. The system comprises a fan rotating speed control unit for obtaining load utilization rate information of the system and adjusting the rotating speed of the fan according to the change tendency of the total load utilization rate of the system. The system is provided with the fan rotating speed control unit for realizing slow switching of the rotating speed transition of the fan and quick and stable cnvergence of the rotating speed of the fan based on the temperature prediction control. Meanwhile, a temperature distribution model of a server main board is built; different important heat dissipating areas are divided in a main board area; the different fan rotating speed control is adopted to realize overall heat dissipating optimization of the server main board; and the reliability of the system is guaranteed.

The invention discloses a novel collaborative environment which contains electric, thermal and mechanical characteristics related to electronic product packaging. Compared with a conventional electronic product design, the design is greatly reduced in complexity on the aspects of a packaging method and a process, a product design period is shortened, and the success rate of a one-time design is increased. The environment is characterized in that the comprehensive, accurate and reconfigurable design parameters and performances and function prediction of the electronic product packaging are provided on an integrated design platform. By collaboratively considering the functions of packaging and thermal and mechanical characteristics on product performances, the product performance can be optimized through product core design optimization, packaging optimization, thermal optimization and mechanical design optimization according to the design cost and implementation complexity in a product design stage. On the one hand, the product performances are realized through low cost, and on the other hand, the freedom of a plurality of designs is provided, so that the performance implementation complexity is lowered; and most important of all, the expectation of the product performances can be accurately estimated in a product design stage, so that design iteration is reduced.

The invention relates to the field of metal heating optimization control methods, in particular to a refined heating control method. According to the technical scheme, the method is characterized by comprising the following steps that the dimension data and chemical composition parameters of steel billet being heated are acquired through a field management system; a steel billet temperature prediction mathematical model is started, the steel billet temperature prediction mathematical model comprises a steel billet internal heat conduction model, a hearth radiation heat exchange model and a hearth convection heat exchange model, and the steel billet temperature is calculated in real time to obtain a model calculation temperature of each point inside the steel billet; according to the real-time temperature of the steel billet in combination with the soaking time process requirements, the heating quality of the steel billet at the current heating system and production rhythm is predicted;and the furnace temperature of each section is automatically adjusted and set according to the predicted heating quality of the steel billet until the heating quality of the steel billet meets the heating process requirement. The method has the advantages that the heating process of the steel billet is finely controlled, and the heating quality of the steel billet and the steel rolling productionefficiency are improved to the maximum extent.

One embodiment of the invention includes a process comprising transmitting electrical power produced by a PV array to an electrolyzer and transferring heat from the PV array to the electrolyzer. The resulting process produces renewable hydrogen from solar energy at a lower cost per kg.

In accordance with the present disclosure, a tool for evaluating the thermal layout of a scan room is discussed. In practice, the tool may be used to quickly generate and test different room and imaging system layouts to identify a suitable layout. A scan room and imaging system may then be placed and oriented in accordance with the layout that has been tested and found acceptable using the tool.

A method for thermal optimization comprising the steps of stacking a first chip layer and a second chip layer wherein the second chip layer is rotated in relation to the first chip layer wherein a first hot spot on the first chip layer and a second hot spot on the second chip layer are not spatially aligned; routing a signal input through the first chip layer from a first chip pad on the first chip layer to a first silicon via so as to form a physical input to output twist and a first signal output; and routing the first signal output from the first chip layer through a second chip layer from a second chip pad on the second chip layer to a second silicon via so as to form a second signal output.

The invention provides a multi-scale heat-proof optimization method for a composite material. The multi-scale heat-proof optimization method comprises the following steps: step 1, establishing finite element models of the composite material to be optimized according to design variables, wherein the finite element models comprise a mesoscopic finite element heat transfer analysis model, a macroscopic finite element heat transfer analysis model and a cell body expansion model; step 2, performing mesoscopic heat transfer analysis on the established mesoscopic finite element heat transfer analysis model to obtain equivalent thermophysical parameters; transmitting equivalent thermophysical property parameters obtained through mesoscopic heat transfer analysis into a macroscopic finite element heat transfer analysis model through a cell body expansion model for macroscopic heat transfer analysis; in the heat transfer analysis, optimizing the mesoscopic heat transfer analysis model and the macroscopic heat transfer analysis model by adjusting design variables, ending the optimization if the optimized target meets constraint conditions, and outputting a heat transfer analysis result; and if the constraint condition is not met, readjusting the design variable of the finite element model, and repeatedly iterating until a heat transfer analysis result is output. By adopting the scheme of the invention, the optimization algorithm and the grid free deformation technology can be introduced while the temperature is reduced more effectively, so that the calculation efficiency is effectively improved.

The invention relates to a multi-core adaptive way prediction algorithm based on Cache division and belongs to the field of computer system structures. At present, a low-power-consumption and thermal optimization design becomes a core problem of the micro processor research. By a multi-core structure of a multi-core processor, a relevant power-consumption research is a rather important subject. By using a partial theory of program running and aiming at a multi-core processor environment, the Cache division is combined with way prediction of Cache; and by the adoption of the adaptive way prediction algorithm on a result of the Cache division, the aim of reducing the Cache power consumption is fulfilled on the premise of keeping the conventional system performance balanced.

The invention provides a heat supply optimization method for a coupling absorption heat pump of a thermal power plant. The method comprises the following steps of 1, establishing an equivalent enthalpy drop model according to data and operation conditions of a steam turbine in the thermal power plant, determining corresponding steam exhaust back pressure of the steam turbine according to differentcirculating water temperatures by the model, and calculating the heat supply of the coupling absorption heat pump based on the steam extraction pressure and the steam exhaust back pressure, and calculating turbine efficiency and generating capacity; 2, establishing a thermal power plant cold end optimization model according to the characteristics of the steam turbine, and correcting the efficiency and the generating capacity of the steam turbine; 3, establishing an absorption heat pump model according to the property of the absorption lithium bromide heat pump, and calculating COP and heat supply after the absorption heat pump is coupled with the heat supply of the thermal power plant; and 4, setting different operating parameters (circulating water temperature and steam extraction pressure) according to the absorption heat pump waste heat recovery heat supply system, performing joint calculation through the models in the steps 1-3, and calculating the operating economy of the systemaccording to the local on-grid electricity price and the heat supply price to obtain the optimal operating parameters.

The invention provides an infrared gas sensing system. The infrared gas sensing system comprises an infrared light source, a base and a probing module, the base is provided with a zigzag channel arranged inside and a reflecting mirror arranged in the zigzag channel, the zigzag channel is provided with several channel corners, and the reflecting mirror comprises a half-transmitting-half-reflecting mirror arranged at one of the channel corners and a full-reflecting mirror arranged at other channel corners; the probing module comprises a heat conducting baseboard and two probe modules which are arranged at the same side of the heat conducting baseboard and have the same specification. Through the structure, the influence caused by light intensities which are measured by the two probe module represents the linear relation due to external environment changes, and is conveniently eliminated through computation, therefore the anti-jamming performance of the system to the external environment changes is improved; by conducting thermal optimization on the two probe sensor modules, the temperatures of the two probe modules are identical, and the influence of the temperature on the measurement result of the probe modules is reduced.

The present invention provides an electronic circuit and EMI countermeasure for an automotive electronic control unit that provides a maximum amount of EMI protection under normal operating conditions, i.e., ambient temperatures. The effectiveness of the EMI countermeasure is limited at extremely high temperatures. The electronic circuit and EMI countermeasure optimizes the effectiveness of EMI countermeasures as a function of temperature to improve performance under normal conditions.

The invention discloses a Taguchi method-based thermal-optimization method of a machine tool spindle. The method includes: determining quality parameters of the machine tool spindle; determining key parameters of the machine tool spindle on the basis of the quality parameters; determining test combinations on the basis of the key parameters, and screening the test combinations through a Taguchi method to obtain a test combination after screening; carrying out a machine tool spindle test on the basis of the test combination after screening, and obtaining a test result; analyzing the test resultto obtain optimal thermal performance parameters of the machine tool spindle; and carrying out thermal optimization on the machine tool spindle on the basis of the optimal thermal performance parameters. The invention also discloses a thermal-optimization device of the machine tool spindle on the basis of the Taguchi method. Through using the Taguchi method to screen the test combinations in an optimization process, the better test combination is selected for a test, computational complexity in the optimization process is reduced, and thus the machine tool spindle is more quickly, more comprehensively and more accurately optimized.

The invention discloses a spiral grooved tube optimization method, and belongs to the field of spiral grooved tube heat exchange optimization. Through overall optimization of the shape of the spiral groove, the optimized spiral groove pipe with the performance improved greatly can be obtained, specifically, parameterized description is conducted on the spiral groove molded line through the spline curve, the molded line more sensitive to coordinate changes of the control points can be obtained, and then the requirement for fine adjustment and optimization of the molded line is met. According to the method, the genetic algorithm is adopted to screen the optimal spiral groove profile in the optimization target value, so that the coordinates corresponding to the screened spiral groove profile can be selected, crossed and/or mutated to obtain the optimized spiral groove profile, and the optimized spiral groove profile can be iteratively calculated again to obtain the optimization target so that a more excellent spiral groove tube type line can be obtained; and meanwhile, the performance parameters of each generation of population are predicted through the agent model, a large number of CFD calculation processes are replaced, calculation resources are saved, the optimization period is shortened, and the efficiency of the optimization process is improved.

The invention discloses a novel synergistic environment including electrical, thermal and mechanical characteristics considering electronic product packaging. The invention is characterized in that alumped design platform provides comprehensive, accurate and reconfigurable design parameters, performance and function prediction for the electrical, thermal and mechanical characteristics of the electronic product package. By considering the effect of packaging, thermal and mechanical properties on product performance, the product performance can be optimized from the aspects of core design optimization, packaging optimization, thermal optimization, and mechanical design optimization according to the design cost and complexity of realization in the design stage of product. On the one hand, itguarantees the low cost realization of product performance; on the other hand, it provides multiple design degrees of freedom, reduces the complexity of performance realization, and most importantly,it can accurately evaluate the expectation of product performance in the product design stage, and reduces the design iteration.

The invention discloses an energy storage heat exchange optimization scheduling method, which comprises the following steps that: a cloud processing computing system detects a total heat energy absorption value in a current operation period in real time, and obtains the total heat energy absorption value in the current operation period; historical heat energy consumption values in the same operation period in the current season are detected, and calculating is conducted to obtain a historical heat energy consumption average value; the cloud processing computing system determines energy storage heat exchange optimization scheduling execution operation according to the relation proportion of the total heat energy absorption value and the historical heat energy consumption average value in the current operation period. According to the scheduling method, the relationship between the actual total heat energy absorption numerical value and the historical heat energy consumption average numerical value of the energy storage system is fully considered, intelligent management and control are achieved, and the long-term use reliability and safety of the system are guaranteed.

The invention discloses a thermoelectric unit high-back-pressure heat supply optimization method. The method is characterized in that when two units of a thermal power plant are connected in series for heat supply under high back pressure, the back pressure of a first unit and the back pressure of a second unit are collaboratively optimized under the current steam exhaust amount of the first unit, the current steam exhaust amount of the second unit, the current circulating water amount and the current water return temperature, and the water supply temperature is guaranteed. The method comprises the steps that firstly, the first unit is optimized to operate under the optimal back pressure, and the back pressure of the second unit is adjusted to the most economical back pressure for guaranteeing the water supply temperature; and if the water supply temperature requirement still cannot be met when the back pressure pc2 of the second unit is adjusted to the highest back pressure pc2max, the second unit maintains the highest back pressure operation, and the back pressure of the first unit is adjusted to the most economical back pressure for guaranteeing the water supply temperature. According to the two-unit high-back-pressure series heat supply optimization method, under the condition of heat supply guaranteeing, the generating capacity is maximized, and heat supply energy consumption is minimized.