Symposium on Recent Advances in Integrated Computational and Experimental Methods for Additive Manufacturing; Golden, Colorado; September 6-8, 2017

增材制造集成计算和实验方法最新进展研讨会；

• 批准号: 1748407
• 负责人: Amy Clarke
• 金额: $ 1万
• 依托单位: Colorado School of Mines
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-15 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1748407&HistoricalAwards=false
• 关键词: Symposium; Recent; Advances; Integrated; Computational

Additive manufacturing (AM) holds the promise of revolutionizing current paradigms in engineering design, manufacturing, and material and structural performance. Full realization of the potential of AM requires significant advances in both the process and performance modeling of additively manufactured materials and structures. The modeling and simulation of AM processes is multidisciplinary in nature, involving multiple physics as well as multiple time and space scales, thus requiring interdisciplinary research efforts. The goal of the Symposium on Recent Advances in Integrated Computational and Experimental Methods for Additive Manufacturing is to bring together researchers from the computational mechanics and materials science research communities involved in advancing the state-of-the-art in process modeling of additively manufactured (AM) materials and structures. A theme of the conference will be integration of computational modeling and experiment, leveraging the unique manufacturing aspects of AM, to improve overall modeling predictivity and to enable process optimization. This award supports travel and registration to enable students, postdocs, and early career professionals to attend this workshop and engage in discussions with leading experts in additive manufacturing - an emerging, transformational manufacturing technology - to equip the next-generation materials workforce.A primary goal of this symposium is to educate and equip the next generation of materials scientists and engineers with the tools they require to be successful in the manufacturing landscape of tomorrow. The use of Integrated Computational Materials Engineering (ICME) concepts to reach the goals of advanced manufacturing is becoming integral to the design and manufacture of structural materials. The support provided for registration and travel will be used to broaden the availability of this conference to include students, postdocs and young professionals, with a particular focus on enhancing diversity by encouraging women and underrepresented minorities to attend. The symposium scope aligns with national initiatives to promote advanced manufacturing, including the Materials Genome Initiative (MGI). By applying the principles of MGI to advanced manufacturing processes such as AM, the materials community can better integrate computation, experiments, and digital data to build a materials knowledge-base that will allow materials to be designed and implemented via ICME.

增材制造（AM）有望彻底改变当前工程设计、制造以及材料和结构性能的范式。充分实现增材制造的潜力需要在增材制造材料和结构的工艺和性能建模方面取得重大进展。增材制造过程的建模和仿真本质上是多学科的，涉及多个物理以及多个时间和空间尺度，因此需要跨学科的研究工作。增材制造综合计算和实验方法最新进展研讨会的目标是汇集来自计算力学和材料科学研究社区的研究人员，共同推进增材制造（AM）材料和结构的最新工艺建模。会议的主题将是计算建模和实验的集成，利用AM独特的制造方面，以提高整体建模预测性并实现过程优化。该奖项支持旅行和注册，使学生、博士后和早期职业专业人士能够参加该研讨会并与增材制造领域的领先专家进行讨论--增材制造是一种新兴的、变革性的制造技术-装备下一个-本次研讨会的主要目标是教育和装备下一代材料科学家和工程师，他们需要的工具，在未来的制造业中取得成功。利用集成计算材料工程（ICME）概念来实现先进制造的目标，正成为结构材料设计和制造中不可或缺的一部分。为注册和旅行提供的支持将用于扩大本次会议的可用性，以包括学生，博士后和年轻专业人员，特别注重通过鼓励妇女和代表性不足的少数群体参加来增强多样性。研讨会的范围与促进先进制造业的国家倡议相一致，包括材料基因组计划（MGI）。通过将MGI的原理应用于先进的制造工艺，如AM，材料界可以更好地集成计算，实验和数字数据，以建立材料知识库，从而允许通过ICME设计和实施材料。