2010
DOI: 10.1016/j.matdes.2010.01.002
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Re-design of a failed clutch fork using topology and shape optimisation by the response surface method

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Cited by 42 publications
(17 citation statements)
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“…However, fatigue constraints have not been used that extensively in structural optimization problems. Some authors that have used structural optimization in order to find designs that fulfil fatigue life aspects are for example Kaya et al [17], where a failed clutch fork was investigated and compliance based topology optimization followed by shape optimization by the response surface method was used to achieve a design with a lower von Mises stress. The fatigue analysis was made using the software MSC Fatigue [23] and a constant amplitude load curve.…”
Section: Introductionmentioning
confidence: 99%
“…However, fatigue constraints have not been used that extensively in structural optimization problems. Some authors that have used structural optimization in order to find designs that fulfil fatigue life aspects are for example Kaya et al [17], where a failed clutch fork was investigated and compliance based topology optimization followed by shape optimization by the response surface method was used to achieve a design with a lower von Mises stress. The fatigue analysis was made using the software MSC Fatigue [23] and a constant amplitude load curve.…”
Section: Introductionmentioning
confidence: 99%
“…Cavazzuti et al [2] used this method and designed the chassis of an automobile. Kaya et al [3] with the help of this technique redesigned a clutch fork. Response surface methodology was adopted for designing the clutch fork.…”
Section: Literature Surveymentioning
confidence: 99%
“…Despite these obvious industrial needs, as pointed out in Holmberg et al (2014), there is not a wide literature about fatigue failure in topology optimization, although some interesting issues were explored concerning shape optimization, see e.g. Mrzygold and Zielinski (2006), Kaya et al (2010), Grunwald and Schnack (1997). The work by Holmberg et al (2014) introduces probability-based fatigue constraints, which are aggregated through the adoption of stress clusters.…”
Section: Introductionmentioning
confidence: 99%