汽车模型加工设备工艺参数数据集

该数据集可应用于汽车模型注塑/压铸工艺参数优化工作，针对不同型号、材质的汽车模型零部件加工需求，通过整合的注塑机（射胶压力、射胶速度等）、压铸机（压射速度、压射压力等）关键工艺参数，以及对应工件信息和成品质量检测数据，开展工艺参数与成品质量的深度关联性分析。借助挖掘历史数据中“优质成品对应的工艺参数组合”，可建立不同工件的工艺参数推荐模型，例如在新型号汽车模型外壳注塑加工时，调用数据集内相关材质（如ABS、PP）的历史加工数据，快速匹配最优工艺参数，有效减少试模次数、缩短生产准备周期；同时，针对批量生产中成品合格率波动问题，通过对比异常批次与合格批次的工艺参数差异，精准定位参数偏差点并完成迭代优化，助力提升工艺稳定性，保障批量生产质量。

This dataset is designed for optimizing injection molding and die casting process parameters for automotive components. Targeting the processing demands of automotive parts with varying specifications and materials, it integrates key process parameters of injection molding machines (including injection pressure, injection speed, etc.) and die casting machines (including shot speed, shot pressure, etc.), alongside corresponding workpiece information and finished product quality inspection data, to perform in-depth correlation analysis between process parameters and finished product quality. By extracting the optimal process parameter combinations corresponding to high-quality finished products from historical data, a process parameter recommendation model for different workpieces can be established. For example, during the injection molding processing of new automotive component shells, historical processing data of relevant materials (such as ABS, PP) in the dataset can be called to quickly match the optimal process parameters, effectively reducing the number of mold trials and shortening the production preparation cycle. In addition, for the problem of fluctuations in product qualification rate in mass production, by comparing the differences in process parameters between abnormal batches and qualified batches, parameter deviation points can be accurately located and iterative optimization can be completed, helping to improve process stability and ensure the quality of mass production.

搜集汇总

背景与挑战

背景概述

该数据集聚焦汽车模型加工领域，整合了注塑机和压铸机的关键工艺参数、生产批次信息以及成品质量检测数据，旨在通过关联分析优化工艺参数组合。数据集可直接应用于不同材质零部件的加工参数推荐，减少试模次数并提升生产稳定性，为汽车模型制造的质量管控和效率提升提供数据支撑。