Abstract Design and process optimization are key aspects of manufacturing engineering.
This contribution details a machine learning (ML) methodology capable of learning from …

It is recognized that fracture and wrinkling in sheet metal forming can be eliminated via an
appropriate drawbead design. Although deterministic multiobjective optimization algorithms …

This paper presents the probabilistic analysis of concrete-faced rockfill (CFR) dams
according to the Monte Carlo Simulation (MCS) results which are obtained through the …

Wheels are important safety components in the vehicle driving system. Automobile
lightweight is the direction of the modern automobile development. In this article, steel wheel …

In this study, empirical constitutive relations of materials with different crystalline structures
through severe plastic deformation are introduced. Here, for each material, an optimized …

An effective and efficient methodology is proposed to predict surface roughness by online
monitoring of surface quality using accelerometer signals. A probabilistic approach, Monte …

In order to obtain complex three‐dimensional trimming line and evaluate flanging formability
of automobile covering panels at the early design stage of process planning and trimming …

The exclusion of variations in the deterministic design method can lead to very unreliable
result and instability quality. This paper proposes a probabilistic design approach for the …

Saç metal prosesinde, geri yaylanma, buruşma ve kalınlık azalması en yaygın sorunlardan
biri haline gelmiştir. Bu çalışmada, otomobil yan panelinde geri yaylanma, buruşma ve …

Traditional procedure of design of deep drawing die is manual which is tedious, time-
consuming, error-prone and highly experienced based. A die designer needs to spend too …