America’s Cutting Edge CNC machining and metrology training

Schmitz, Tony L.; Cornelius, Aaron; Dvorak, Jake; Nazario, Jose; Betters, Emma; Corson, Greg; Smith, Scott M.; Blue, Craig A.; Harmon, Joannie; Morrison, Mark; Blevins, Tyler; Hopkins, John

doi:10.1016/j.mfglet.2022.07.113

Cited by 2 publications

(1 citation statement)

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“…To fully utilize hybrid systems, it is possible to rely on lessons learned from previous attempts to integrate new technology into workspaces, or to introduce a new workforce into existing systems. For example, Schmitz recognized that online CNC training programs can allow for distracted learners (Schmitz et al 2022). Virtual reality-based CNC training work should work towards varying the degree of support based on user needs and understanding the degree of help needed to complete the task (Ryan 2022).…”

Section: Introductionmentioning

confidence: 99%

Operator 4.0 for Hybrid Manufacturing

Fillingim

Feldhausen

2023

Proc. Des. Soc.

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Hybrid manufacturing, a combination of additive and subtractive manufacturing capabilities in one system, has recently become a more viable production option across several industries. Although current hybrid manufacturing research covers a broad range of topics, there is a lack of focus on how this new technology impacts both the designer and the operator of hybrid systems. This paper identifies areas of literature across design theory and Industry/Operator 4.0 research efforts and presents a path for applying this research to hybrid manufacturing users. The unique relationship between operator and designer is highlighted as they learn new strategies and develop new intuitive judgements over time to become the first experienced/expert users of hybrid manufacturing. The potential impact of excessive cognitive workload due to the novel combination of processes is discussed. This paper begins a critical discussion about proper knowledge transfer to other hybrid designers and operators, as well as towards efforts of monitoring, inspecting, and automating hybrid manufacturing processes.

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Section: Introductionmentioning

confidence: 99%