Multicriteria optimization of an oven with a novel ϵ-constraint-based sandwiching method

• Oven curing of automotive parts is a complex industrial process involving multiple scales ranging from submillimeter thick layers to the size of the ovens, and long curing times. In this work, the process is simulated by state-of-the-art immersed boundary techniques. First, the simulations are validated against temperature measurements, in a lab scale oven, of three parts taken from a truck cab. Second, a novel multicriteria optimization method is proposed. It is applied to study the optimal positioning of the three parts with respect to curing time and energy consumption. The results presented demonstrate that complex industrial heat transfer processes can be optimized by combining state-of-theart simulation technology and deterministic optimization techniques

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Energiteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Energy Engineering (hsv//eng)

Keyword

Curing

Energy utilization

Heat transfer

Multiobjective optimization

Temperature measurement

Automotive parts

Complex industrial process

Deterministic optimization

Immersed boundary technique

Multicriteria optimization

Optimal positioning

Simulation technologies

State of the art

Ovens

Publication and Content Type

ref (subject category)

art (subject category)