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MTC Engineering Doctorate Centre

MTC Engineering Doctorate Centre
MTC工程博士中心
批准号:
EP/I017933/1
负责人:
Svetan Ratchev
金额:
$159.55万
依托单位:
依托单位国家:
英国
项目类别:
Training Grant
财政年份:
2011
资助国家:
英国
项目状态:
已结题
起止时间:
2011 至 --

项目摘要

项目成果

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中文摘要
翻译
制造技术中心(MTC)工程学博士中心的目的是通过弥合该领域基础研究和技术商业化之间的差距,加快新的高价值制造技术在英国工业中的采用和利用。这将通过大学研究伙伴(诺丁汉大学、拉夫堡大学和伯明翰大学)和MTC工业创始成员(劳斯莱斯、空中客车、航空发动机控制)之间的合作伙伴关系,通过共同赞助和共同监督一批工程博士研究工程师来实现,以应对网络形状制造、先进工具和夹具以及智能自动化领域的关键研究挑战。位于沃里克郡安斯蒂的1.2万平方米专门建造的25M MTC大楼将为研究人员提供一个枢纽,他们将受益于大型研究设备的投资以及接触关键研究和技术人员的机会。研究工程师将受益于精心设计的正规培训方案,将先进的技术技能与管理/专业发展培训和背景意识相结合。这是为了确保研究工程师不仅掌握最新先进制造方法和途径的详细实践知识,还了解他们的研究如何适应价值链,从而实现最佳解决方案。
英文摘要
The purpose of the Manufacturing Technology Centre (MTC) Engineering Doctorate Centre is to accelerate the adoption and utilisation of new high-value manufacturing technologies within UK industry by bridging the identified gap between basic research and technology commercialisation in this area. This will be achieved through partnership between university research partners (the University of Nottingham, Loughborough University and the University of Birmingham) and founding MTC industrial members (Rolls-Royce, Airbus, Aero Engine Controls) through co-sponsorship and co-supervision of cohorts of Engineering Doctorate Research Engineers to tackle key research challenges in Net Shape Manufacturing, Advanced Tooling and Fixturing and Intelligent Automation. The 12,000 sqm purpose-built 25M MTC building at Ansty, Warwickshire will provide a hub for the researchers, who will benefit from investment in large-scale research equipment and access to key research and technical staff. Research Engineers will benefit from a carefully constructed formal training programme combining advanced technical skills with management/professional development training and contextual awareness. This is to ensure that Research Engineers are not only equipped with detailed hands-on knowledge of the latest advanced manufacturing methods and approaches but also an understanding of how their research fits within the value chain so as to achieve optimal solutions.
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