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phoenix810木蟲(chóng) (小有名氣)
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投稿到ACS Industrial & Engineering Chemistry Research今天收到審稿意見(jiàn)如下: reviewer1: Summary Recommendation: Publishable paper; requires substantial revisions and shortening as indicated and then publish as a short note (see detailed comment b below). No re-review recommended. 貌似叫我縮寫(xiě)。最后一句話什么意思？改完之后不用再審了？ Recommendation: The authors use the single objective particle swarm algorithm (PSA) of Shi and Eberhart to optimize a single plate-fin heat exchanger. I have reservations on this ms., but still recommend its publication as a short note (but only after a substantial re-writing and shortening as described below). Detailed Comments: a) Page 2: The authors mention that though several papers exist on the design of heat exchangers (HXs), nothing much is available on their optimization [“... do not consist of any optimization strategies that are needed …”]. This is just NOT true. See, for example: Agarwal, A. and Gupta, S. K., Jumping Gene Adaptations of NSGA-II and Their Use in the Multi-objective Optimal Design of Shell and Tube Heat Exchangers, Chem. Eng. Res. Des., 86, 123-139 (2008). A. Jiminez et al., Indus. Eng. Chem. Res., recent issue The authors need to look at papers in Chemical Engineering journals and expand their literature survey to beyond the restricted confines of Mechanical Engineering. In fact, a considerable amount of optimization using more than a single objective function has also been reported, as also the multi-objective optimization (MOO) of Heat Exchanger networks (the heuristic pinch algorithm, now using multi-objective GA), etc. The authors seem to be blissfully unaware of all this work in the literature of heat exchanger optimization. b) I believe that the days of optimizing simple problems involving only a single objective function are long over. The two articles mentioned above use the very detailed Bell-Delaware method to estimate/size the HX (though not for plate-fin HXs), and then to optimize it using more than one objective function (multi-objective optimization, MOO). Indeed, the authors talk a bit about the possibility of a Pareto set of non-dominated (equally good or optimal) solutions on page 14 of their ms., without realizing that this reflects two points of a Pareto set for a two-objective function problem, and MOO algorithms can be used to study this more effectively. Hence, I find this ms. far too elementary for publication in IECRes, except as a short note. c) Several references have ‘et al.’ This is possibly not acceptable to a journal, I believe, and all authors need be mentioned. d) The language needs substantial improvement. reviewer2: Comments to the Author To demonstrate the improvement proposed, authors should compare their results against PSO methodologies proposed by others. In this paper, it seems that the convergence is achieved by fixed number of evaluations. Can this guarantee optimum for any problem? Conclusion of the paper should be improved to account physical significance of the problem. 審稿人2好像沒(méi)什么意見(jiàn)，有沒(méi)有人能把Can this guarantee optimum for any problem? 這句話什么意思翻譯看看��？ 請(qǐng)大家?guī)兔纯�，多謝了！ PS:文章修好后，一個(gè)禮拜順利錄用，感謝大家無(wú)私的幫助！  [ Last edited by phoenix810 on 2010-5-6 at 16:26 ] |
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