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Application Of Genetic Algorithm To Optimize Alloy Additions In The Coating Of Hardfacing Electrode

Posted on:2005-06-13Degree:MasterType:Thesis
Country:ChinaCandidate:B WuFull Text:PDF
GTID:2121360122498776Subject:Materials Processing Engineering
Abstract/Summary:PDF Full Text Request
The research progress of hardfacing consumables and the developing state of roller and molk hardfacing consumables are summarized, the relationship between hardness and wearability of hardfacing electrodes' deposited metal are explored in this paper. Those issues such as general optimizition design steps of the hardfacing electrode, set-up of optimization mathematical model, the characteristics and use scope of other optimize algorithms are also discussed in details. Based on the above-mentioned explorations & discussions, the author puts forward the new research thinking of application of genetic algorithm to optimize alloy additions in the coating of hardfacing electrodes.Taking the repairing of 9Cr2Mo cold roller as example, adopting genetic algorithm programmed by C language, solutions of function set up by literature [2] between alloy additions and hardness as well as wearing capacity are optimized. The results of computer simulations and test show that this algorithm can get optimization solution and its process of optimization can be goodconvergence. Results of optimization are discussed and compared with that of mixed penalty function algorithm. This investigation show that the mathematical model set up by other way can be optimized with genetic algorithm. Genetic algorithm can be used to optimize alloy additions in the coating of the C-Cr-Mo-Ni-Mn alloy system hardfacing electrodes. Under the condition of hs≥60, optimization results of mixed penalty function algorithm is h0=62.6, V=33.50mm3; that of genetic algorithm is h0=60.0, AV=21.30mm3. This show that optimization results of genetic algorithm is better than that of mixed penalty function algorithm under the same condition of hs≥60. Under the condition of hs≥ 40, genetic algorithm optimization gets the optimum solution: h0=57.9, ΔVmin=19.4mm3.The optimum ratio of alloy additions is w1=1.8%, w2=10.2%, w3=6.0%, w4=8.6%, w5=5.0%.The experimental electrodes were made according to the results of genetic algorithm optimization, and then hardness and wearing capacity of their deposited metal were tested. The experiment show that the test data is identical to optimization data.The author of this paper firstly puts forward the application of genetic algorithm to optimize alloy additions in the coating of hardfacing electrode, and finds a new approach for the formula of hardfacing electrode. This is valuable in theory and practice.
Keywords/Search Tags:genetic algorithm, optimization, electrode, hardness, wearability
PDF Full Text Request
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