首页> 外文期刊>Journal of The institution of engineers (India), Series C >Modelling and Bi-objective Optimization of Soil Cutting and Pushing Process for Bulldozer and its Blade
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Modelling and Bi-objective Optimization of Soil Cutting and Pushing Process for Bulldozer and its Blade

机译:推土机土壤切割和推动过程的建模与双客观优化

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摘要

Bulldozer is an earth moving machine, which is mainly used for cutting and pushing soil. The process of soil cutting and pushing involves various decisions making to make it optimum. The decisions are generally made based on the experience of practitioners that may not be optimum for different working conditions. In this paper, a bi-objective optimization problem is modelled so that the optimum values of decision variables can be determined. The objective functions are proposed to make the process economic and productive by minimizing the cutting force on a bulldozer blade and maximizing the blade capacity. A constraint is also developed on the power requirement from a bulldozer to overcome resistance. The problem is solved using ε-constraint method and multi-objective genetic algorithm. The approximate Pareto-optimal solutions and their perturbation analysis are presented. Various relationships are evolved from the post-optimal analysis that can be used for making guidelines for decision making for the process. The originality of this paper lies in developing the bi-objective formulation and in presenting various relationships by the post-optimal analysis, which has sparingly done in the domain literature.
机译:推土机是一台地球移动机,主要用于切割和推动土壤。土壤切割和推动的过程涉及各种决策,使其成为最佳。该决定通常根据从业者的经验而对不同的工作条件的优化经验进行。在本文中,建模了双目标优化问题,使得可以确定决策变量的最佳值。提出了客观函数,通过最大限度地减少推土机叶片上的切割力并最大化刀片容量来实现经济和生产力。在推土机的功率要求中也开发了约束来克服阻力。使用ε-约束方法和多目标遗传算法来解决问题。提出了近似静态最佳解决方案及其扰动分析。各种关系是从最佳分析中的演变,可用于制定该过程的决策指南。本文的原创性在于开发双目标配方,并通过最佳分析呈现各种关系,这在域文学中谨慎地完成。

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