[ 会议基本信息 ]
会议名称(中文)： 2017材料工程与制造国际会议 (ICMEM2017)
会议名称(英文)： 2017 International Conference on Material Engineering and Manufacturing (ICMEM2017)
所属学科： 纳米科学与技术,高分子材料,复合材料,材料加工与处理,材料成形制造与设备
开始日期： 2017-10-09
结束日期： 2017-10-11
所在国家： 中华人民共和国
所在城市： 四川省 成都市
具体地点：
主办单位： 四川大学
协办单位： IOP
承办单位： 四川大学
议题：
[ 组织结构 ]
会议主席： Prof. Xiaohong Zhu, Sichuan University, China
组织委员会主席： Prof. Dr. TANG Xiaoli, University of Electronic Science and Technology of China (UESTC), China
程序委员会主席： Prof. Sofian M. Kanan, American University of Sharjah (AUS), U.A.E
会议嘉宾：
姓名 职务 简介 演讲题目
[ 重要日期 ]
摘要截稿日期： 2017-07-30
全文截稿日期： 2017-07-30
论文录用通知日期： 2017-08-20
交修订版截至日期： 2017-08-30
参会报名截止日期： 2017-08-30
[ 会务组联系方式 ]
联系人： Ms. Dayna Pan
联系电话： +86-180-62000004
传真：
E-MAIL： icmem@saise.org
通讯地址：
邮政编码：
会议注册费： 430USD
会议网站： http://www.icmem.org/
会议背景介绍：
Welcome to the official website of the 2017 International Conference on Material Engineering and Manufacturing (ICMEM2017). The Conference will be held in Chengdu, China during October 9-11, 2017.
The main aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Materials Engineering and Manufacturing. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Materials Engineering and Manufacturing.
征文范围及要求：
Advanced Design Technology
Materials Science and Engineering
Advanced Manufacturing Technology
Manufacturing Systems and Equipment
Automation, Control and Information Technology
Manufacturing Engineering
Manufacturing system and simulation
Manufacturing processes and technology
Cellular manufacturing
Lean and Agile Manufacturing
Nano Fabrication and Precision Engineering
Mechatronics
Computer Aided Metrology
Materials Science
Composites
Nanomaterials
Surface Modification Technologies
Materials Characterization
Automation
Industrial Automation and Process Control
Intelligent Controllers
Virtual Instrumentation in Automation
Machine Vision system
Industrial Robots and Automation
Controllers and Distributed Control System
Embedded System
Sensors for Automation
Vibration Engineering
