已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

A review on epoxy granite reinforced polymer composites in machine tool structures – Static, dynamic and thermal characteristics

环氧树脂 材料科学 复合材料 机床 机械加工 热的 刚度 机械工程 计算机科学 工作(物理) 补偿(心理学) 万能试验机 极限抗拉强度 工程类 冶金 气象学 物理 心理学 精神分析
作者
Venkata Ramana Mula,R. ArunRamnath,Thyla Pudukarai Ramasamy
出处
期刊:Polymer Composites [Wiley]
卷期号:44 (4): 2022-2070 被引量:15
标识
DOI:10.1002/pc.27229
摘要

Abstract Machine tool structures produced with Epoxy Granite reinforced polymer composites (EGPCs) have gained prominence in recent years and have replaced conventional cast iron materials and other metals due to its remarkable damping characteristics. However, machine tool structures manufactured with EGPCs tends to exhibit limited strength, stiffness and stability. Such challenges in EGPCs are resolved by incorporation of steel as additional reinforcement and enhanced mechanical properties are observed in these hybrid machine‐tool structures. Hybrid epoxy granite machine tool structures with enhanced mechanical performance are prone to thermal errors resulting in machining inaccuracies and limited performance. Thermal errors induced in machine tool structures could be attributed due to effect of temperature distribution and displacements at the Tool Center Point (TCP). This review work carried out focuses predominantly on design methods adopted in resolving the challenges identified in development of machine tool structures and further analyses results of several polymer concrete‐based machine tool structures with regard to static, dynamic and thermal characteristics. Several review works conducted earlier have discussed the results of static and dynamic characteristics, whereas this review work provides additional information on thermal based errors induced and discusses the methods adopted in compensation of thermal errors. In this review paper, research studies pertaining to static and dynamic characteristics of different machine tool structures performed in last three decades have been discussed and a wholistic information is provided in relation with static, dynamic and thermal characteristics and properties toward developing a machine tool structure with a novel, newer class or alternative materials.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Fqdgest完成签到,获得积分10
1秒前
2秒前
852应助iuv采纳,获得10
2秒前
斯文败类应助Lee采纳,获得10
7秒前
7秒前
占那个完成签到 ,获得积分10
8秒前
Yue发布了新的文献求助10
8秒前
9秒前
深情安青应助77seven采纳,获得10
11秒前
科研通AI5应助lvlei采纳,获得10
11秒前
Evy完成签到 ,获得积分10
12秒前
iuv发布了新的文献求助10
12秒前
科研通AI5应助鱼秋草采纳,获得10
13秒前
17秒前
chenjzhuc应助Lee采纳,获得30
17秒前
18秒前
完美世界应助虞雅柏采纳,获得10
19秒前
成森完成签到,获得积分10
20秒前
21秒前
21秒前
lvlei完成签到,获得积分20
21秒前
执着的冬瓜完成签到 ,获得积分10
22秒前
斯文败类应助一只小羊采纳,获得10
22秒前
宇宙边缘打怪兽完成签到,获得积分10
23秒前
77seven发布了新的文献求助10
23秒前
TXX完成签到,获得积分20
24秒前
隐形完成签到,获得积分10
26秒前
ding应助香蕉雨安采纳,获得10
27秒前
28秒前
28秒前
memore完成签到 ,获得积分10
29秒前
爆米花应助成森采纳,获得10
35秒前
zhenzheng完成签到 ,获得积分10
36秒前
小医学生发布了新的文献求助10
37秒前
38秒前
繁花发布了新的文献求助10
39秒前
40秒前
TXZ06完成签到,获得积分10
41秒前
42秒前
42秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
Genome Editing and Engineering: From TALENs, ZFNs and CRISPRs to Molecular Surgery 300
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
幼儿游戏与指导(第二版) 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3833527
求助须知:如何正确求助?哪些是违规求助? 3376006
关于积分的说明 10491403
捐赠科研通 3095552
什么是DOI,文献DOI怎么找? 1704447
邀请新用户注册赠送积分活动 820037
科研通“疑难数据库(出版商)”最低求助积分说明 771740