2006
DOI: 10.1016/j.jmatprotec.2006.04.062
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A knowledge-based engineering design tool for metal forging

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Cited by 36 publications
(14 citation statements)
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References 8 publications
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“…A number of case studies have shown the major potential of KBE and DA in reducing design effort, as further discussed in Verhagen et al [6]. Examples include the design and analysis of automotive structures [7], aircraft component design [8] and manufacturing process design [9]. For some cases, recurring savings on process time amount to as much as 99%.…”
Section: Introductionmentioning
confidence: 99%
“…A number of case studies have shown the major potential of KBE and DA in reducing design effort, as further discussed in Verhagen et al [6]. Examples include the design and analysis of automotive structures [7], aircraft component design [8] and manufacturing process design [9]. For some cases, recurring savings on process time amount to as much as 99%.…”
Section: Introductionmentioning
confidence: 99%
“…Although research still lacks a common metric for measuring the impact of KBE systems (La Rocca, 2012), some real-world applications in various domains have shown important achievements. Van Der Laan and Van Tooren (2005) showed an 80% saving in time to design the structure of the aircraft's movable parts; Kulon, Mynors, and Broomhead (2006) reduced the time for designing the manufacturing process of hot forging from weeks to hours; Chapman and Pinfold (2001) developed a tool for building the FEM mesh of a car body-in-white in few minutes, thus moving upstream, along the design process, a task which is usually considered in the post-design stage.…”
Section: Knowledge-based Engineeringmentioning
confidence: 99%
“…Moreover, this knowledge must support decision-making and can sometimes even partially automate decisionmaking. If implemented otherwise, knowledge remains in a separate application which can be subsequently be typified as black-box (Kulon et al 2006, Choi et al 2007). Users will not optimally (if at all) acquire and use this knowledge in their daily practice; the visibility of knowledge will be too low.…”
Section: Engineering Knowledge Managementmentioning
confidence: 99%