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33results about How to "Suppression mismatch" patented technology

Titanium alloy skin processing compensation method based on digital twin residual stress prediction model

PendingCN121879265AStable machining resultsReduce compensation misjudgmentsProgramme controlComputer controlStructural engineeringTitanium alloy
The invention discloses a titanium alloy skin processing compensation method based on a digital twinning residual stress prediction model, particularly relates to the field of aeronautical manufacturing, and aims to solve the problems that local resilience is difficult to prejudge and a compensation result is unstable due to inconsistent stress release time sequences and dispersed compensation basis in a subunit cutting process of a titanium alloy skin. A unit stress release state is constructed by collecting a unit contour offset and a unit cutting sequence, same-chain deduction is carried out by combining preorder unit residual stress mapping to generate a unit compensation candidate quantity, and execution judgment and a closed-loop updating parameter layer are formed based on playback and re-scanning consistency analysis. According to the method, compensation decision traceability, processing deviation convergence and continuous inheritance between working steps are achieved, the manual repeated trial cutting and parameter adjustment cost is reduced, and the transition smoothness of adjacent units and the forming consistency of the whole skin are improved.
Owner:XIAN KANGCHENG MACHINE EQUIP

A main steam temperature model predictive control method and system based on preset performance constraints

PendingCN122592865AHard to getimprove quality
The application discloses a kind of based on preset performance constraint's main steam temperature model predictive control method and system, it is related to thermal automatic control technical field.The method includes: offline pre-training neural network prediction model using historical operation data, to approximate the dynamic and output mapping of controlled object;Online at each sampling time based on the neural network model is constructed and solved input constraint model predictive control optimization problem, wherein the cost function introduces the barrier term formed by preset performance function, limit the error envelope that converges with time in predicted tracking error;According to the deviation and error margin of actual output and model output, construct compensation control amount, and with predicted control amount superposition form final control rate;Through online parameter update, correct model error to adapt to working condition change.The application does not need accurate mechanism model, can realize main steam temperature fast, small deviation tracking, effectively suppresses overtemperature and frequent manual intervention.
Owner:JIANGNAN UNIV