Petrochemical Raw Materials

W, Kuhn

doi:10.1021/i650577a752

Cited by 1 publication

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“…Anticipated shortages in natural gas supply and energy resources demand industry to search for optimised process conditions and efficient energy utilisation. 3 In the competitive market this would require finding global optimal solutions to meet the specified quality requirements while shortening cycle time and reducing energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimisation of gas carburising process in batch furnaces with endothermic carburising atmosphere

Karabelchtchikova

Hsiang

Sisson

2009

Surface Engineering

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A methodology for multi-objective optimisation of gas carburising heat treatment has been developed in terms of cost, cycle time and quality of carburised parts. The optimisation strategy is based on: modelling the effect of process parameters (carbon potential, temperature and time) on the mass transfer coefficient and carbon diffusivity in austenite, correlating the observed variations in the process parameters on the carburising kinetics, and developing a robust multiobjective optimisation technique to achieve the desired case depth with minimum cost and minimum case depth variation. The tradeoff between these two objective functions corresponded to carburising at 938?5uC and carbon potential of 1?14 wt-%C. This combination produced the target case depth of 0?6 mm with corresponding ¡0?05 mm case depth variation and minimum total cycle cost. Overall, application of this multi-objective optimisation will result in significant energy reduction by shortening cycle time and thereby enhancing furnace capacity.

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Section: Introductionmentioning

confidence: 99%