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机构地区:[1]哈尔滨理工大学机械动力工程学院,黑龙江哈尔滨150080
出 处:《大连交通大学学报》2016年第6期52-55,65,共5页Journal of Dalian Jiaotong University
基 金:国家自然科学基金资助项目(E050901)
摘 要:近年来我国汽车制造业的迅速发展,导致汽车覆盖件模具需求很大.目前,很多发达国家学者进行了金属切削数据库的开发和研究,然而我国针对于汽车覆盖件模具切削加工的先进切削数据库系统比较少.本文以汽车覆盖件模具切削为研究对象,通过研究模具加工中的基础切削问题与基本加工工艺,以服务的角度出发,采用大数据、云计算技术建立汽车用淬硬钢模具切削基础数据库云平台,挖掘机床性能、加工工艺、刀具选择与加工质量的基本关系,提供标准模具工艺查询、工艺参数优化、刀具优选等服务,为智能机床装备的使用提供基础数据支持.In recent years,the rapid development of Chinese automobile manufacturing industry causes great needs of automobile cover die. At present,many developed country scholars have conducted the research and development of metal cutting database, however, there are less advanced die machining cutting database sys-tem for automobile panel die cutting in our country. Aiming at automobile panel die cutting, automotive hard-ened die steel cutting cloud database platform is established through the study of basic cutting problem and the basic processing technology of die processing by big data and cloud computing technology. According to the service starting,the basic relationship between the performance of the machine tool is studied, and machining process and tool selection with processing quality, services of standard die technology query and optimization of process parameters and tool selection are provided to offer basic data support for the use of intelligent machine tool equipment.
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