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Multi-Objective Optimization Model of Industrial Lubricants Based on Integer Nonlinear Programming
Based on actual lubricating oil production data and the base oil performance indexes of an enterprise, two nonlinear blending schemes corresponding to viscosity and freezing point and four linear blending schemes corresponding to acid value, flash point, oxidation stability, and carbon residue are given in this paper. On the premise that the error of each index is less than 5%, a linear weighted multi-objective optimization model based on integer nonlinear programming considering cost anddoi:10.3390/app11188375 fatcat:afvj6rpn35gh3prct4hmxowtci