2017
DOI: 10.1007/s00170-017-0124-5
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A digital process optimization, process design and process informatics system for high-energy abrasive mass finishing

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Cited by 12 publications
(8 citation statements)
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“…Developing a material model capable of accurately capturing the abrasive phenomena involved in sand blasting is another challenge [118]. Linishing and mass finishing processes present similar challenges, and so analytical and empirical solutions are often utilised for prediction and optimisation purposes [119].…”
Section: Surface Engineeringmentioning
confidence: 99%
“…Developing a material model capable of accurately capturing the abrasive phenomena involved in sand blasting is another challenge [118]. Linishing and mass finishing processes present similar challenges, and so analytical and empirical solutions are often utilised for prediction and optimisation purposes [119].…”
Section: Surface Engineeringmentioning
confidence: 99%
“…Unfortunately, this type of research is the least developed, as mass-finishing processes are generally poorly controllable and difficult to optimize. The aim of the research is to conduct a given treatment in such a way that its effects in the form of the surface texture are predictable [ 10 , 11 ], consistent with expectations, and repeatable [ 12 , 13 , 14 ]. In [ 10 ], the authors proposed a model combining vibration finishing process parameters and material removal mechanisms.…”
Section: Introductionmentioning
confidence: 99%
“…Energy is considered to be critical in societal and industrial activities, especially in intelligent manufacturing and robotics [1]. As the energy consumption is a recent global concern in sustainable manufacturing, it should take the responsibility through a low energy cost approach to clean energy [2], a low carbon footprint approach based on low carbon emissions [3], a low-product environmental footprint approach to sustainable assessment [4,5], optimized model-driven energy efficiency improvement methods [6,7], and sustainable design [8,9]. Current methods for low energy could be basically classified to increase energy efficiency and to reduce energy consumption in sustainable manufacturing.…”
Section: Introductionmentioning
confidence: 99%