Axinte Dragos, Billingham John
Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, United Kingdom;
School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
Proc Natl Acad Sci U S A. 2019 Mar 19;116(12):5341-5343. doi: 10.1073/pnas.1900420116. Epub 2019 Mar 4.
The control of time-dependent, energy beam manufacturing processes has been achieved in the past through trial-and-error approaches. We identify key research gaps and generic challenges related to inverse problems for these processes that require a multidisciplinary problem-solving approach to tackle them. The generic problems that we identify have a wide range of applications in the algorithmic control of modern manufacturing processes.
过去,通过反复试验的方法实现了对随时间变化的能量束制造过程的控制。我们确定了与这些过程的反问题相关的关键研究空白和一般挑战,这些问题需要采用多学科解决问题的方法来应对。我们所确定的一般问题在现代制造过程的算法控制中具有广泛的应用。