Abstract
In this chapter, the current state of the art in optimization of thin film deposition processes is discussed. Based on the reliable and credible published results, the study aims to identify the applications of various optimization techniques in the thin film deposition processes, with emphasis on physical deposition methods. These methods are chosen due to their attractive attributes over chemical deposition techniques for thin film manufacturing. The study identifies the critical parameters and factors, which are significant in designing of the optimization algorithms based on the specific deposition methods. Based on the specific optimization studies, the chapter provides general trends, optimization evaluation criteria, and input-output parameter relationships on thin film deposition. Research gaps and directions for future studies on optimization of physical vapor deposition methods for thin film manufacturing are provided.
Original language | English |
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Title of host publication | Data-Driven Optimization of Manufacturing Processes |
Publisher | IGI Global |
Pages | 246-262 |
Number of pages | 17 |
ISBN (Electronic) | 9781799872085 |
ISBN (Print) | 1799872068, 9781799872061 |
DOIs | |
Publication status | Published - 25 Dec 2020 |
Externally published | Yes |