Hybrid intelligent system for Manufacturing (Hi4Man)

制造混合智能系统 (Hi4Man)

• 批准号: RGPIN-2017-04516
• 负责人: Ahmad, Rafiq
• 金额: $ 1.53万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638354
• 关键词: Hybrid; intelligent; system; Manufacturing; Hi4Man

Production technologies such as subtractive (machining) & additive (3D printing) machines and process automation enable precise manufacturing; however, product and process complexity leads to other challenges such as manual setup changeovers, part dislocations, feature identification, operations scheduling, tracking of material deposition, perception of robots, and collisions avoidance. These challenges lead to increasing manufacturing costs, and limit the broad implementation of existing advanced manufacturing techniques. Thus, machines need intelligent, fast, and robust systems to enhance their performance and reconfigure themselves for unexpected/unavoidable changes. The proposed research program will overcome these limitations during hybrid manufacturing (HM) of combined additive & subtractive processes and robotics for enhanced accuracy, speed, quality, automation and intelligence.

减法(加工)和加法(3D打印)机床和过程自动化等生产技术使精密制造成为可能；然而，产品和过程的复杂性导致了其他挑战，如手动设置转换、零件错位、特征识别、操作调度、材料沉积跟踪、机器人感知和碰撞避免。这些挑战导致制造成本增加，并限制了现有先进制造技术的广泛实施。因此，机器需要智能、快速和强大的系统来增强其性能，并针对意外/不可避免的变化进行重新配置。拟议的研究计划将克服混合制造(HM)过程中的这些限制，以提高精度、速度、质量、自动化和智能。