冷弯成型的智能化方法研究  

Research on Cold Roll Forming Intellectualization Methods

作　　者：李国昌[1] 杨仙[2] 

机构地区：[1]河北科技大学经济管理学院,石家庄050018 [2]河北工业职业技术学院,石家庄050091

出　　处：《焊管》2013年第8期25-27,共3页Welded Pipe and Tube

基　　金：河北省自然科学基金(No.E2011208014);河北省研究与发展计划项目(No.11457202D-8)

摘　　要：分析了我国焊管和冷弯型钢的成型、孔型设计与发达国家存在较大差距的主要原因,即变形理论的研究不能强有力地支持复杂断面型材的孔型设计算法,经验的孔型设计方法导致设计质量不稳定。指出利用人工智能理论和技术解决此问题是较有效的方法,但如果应用不当仍不能取得较好的结果。针对冷弯成型应力应变理论和孔型设计方面的智能化问题展开方法上的讨论,旨在给出人工智能在冷弯成型理论和实际制造方面的应用理念,细化人工智能应用方法,使人工智能在冷弯成型行业得到具体的应用。In this article, it analyzed there is a large gap in forming and pass design for welded pipe and cold formed steel between China and the developed countries. The main reason is deformation theory study cannot strongly support complex section materials pass design algorithm and experiential pass design method resulting in unstable design quality. It pointed out the artificial intelligence theory and technology could effectively solve the problem, however if improper use still cannot achieve good results. Finally, it discussed cold formed stress-strain theory and artificial intelligence pass design method, in order to provide application idea in cold roll forming theory and practical manufacture application for artificial intelligence, refine artificial intelligence application method, and make artificial intelligence to be practically used in cold roll forming industry.

关 键 词：焊管 冷弯型钢 人工智能 孔型设计 应力应变理论 

分 类 号：TG332[金属学及工艺—金属压力加工]