The present paper aims at the definition of an analytical model for the cost estimation of the High Pressure Die Casting (HPDC) process. The model is based on two main pillars: (i) knowledge formalization and (ii) cost estimation algorithms. The novelty of this approach is the link between the analytical model (algorithms) and the geometrical features of the product under development. The relationship between geometrical features and cost items gives an accurate result in terms of cost breakdown, supporting designers for the application of Design-to-Cost rules in HPDC sector.

Analytical Cost Estimation Model in High Pressure Die Casting / Favi, Claudio; Germani, Michele; Mandolini, Marco. - In: PROCEDIA MANUFACTURING. - ISSN 2351-9789. - 11:(2017), pp. 526-535. (Intervento presentato al convegno FAIM2017 - Flexible Automation and Intelligent Manufacturing International Conference tenutosi a Modena (IT)) [10.1016/j.promfg.2017.07.146].

Analytical Cost Estimation Model in High Pressure Die Casting

Favi, Claudio
;
2017-01-01

Abstract

The present paper aims at the definition of an analytical model for the cost estimation of the High Pressure Die Casting (HPDC) process. The model is based on two main pillars: (i) knowledge formalization and (ii) cost estimation algorithms. The novelty of this approach is the link between the analytical model (algorithms) and the geometrical features of the product under development. The relationship between geometrical features and cost items gives an accurate result in terms of cost breakdown, supporting designers for the application of Design-to-Cost rules in HPDC sector.
2017
Analytical Cost Estimation Model in High Pressure Die Casting / Favi, Claudio; Germani, Michele; Mandolini, Marco. - In: PROCEDIA MANUFACTURING. - ISSN 2351-9789. - 11:(2017), pp. 526-535. (Intervento presentato al convegno FAIM2017 - Flexible Automation and Intelligent Manufacturing International Conference tenutosi a Modena (IT)) [10.1016/j.promfg.2017.07.146].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2836620
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