Optimization Formulation Based on Limited Data and RSM : An Approximation
نویسنده
چکیده
In this study, response surface models (RSMs) based on limited data are developed. Experimental cutting force data for the flat end milling process are employed to build these models. Four RSM models are developed in terms of process variables. The first model is used to build the mean cutting force. Similarly, the second, third and fourth models are used to build models for the variance, skewness and curtosis coefficients of the cutting forces. A bi-objective optimization procedure is developed and solved to generate a set of optimal process settings. An approximation scheme resulted in 6 possible objective combinations. The Pareto set of solutions (or part of) are generated for the six possible combinations. The merit of this study lies in the fact that response surfaces are built from limited data, often experienced in reality.
منابع مشابه
A comparative study of metamodeling methods for multiobjective crashworthiness optimization
The response surface methodology (RSM), which typically uses quadratic polynomials, is predominantly used for metamodeling in crashworthiness optimization because of the high computational cost of vehicle crash simulations. Research shows, however, that RSM may not be suitable for modeling highly nonlinear responses that can often be found in impact related problems, especially when using limit...
متن کاملOptimization of Formulation in Dietary Gaz Fortified with Stevioside and Ganoderma locidum using Response Surface Methodology (RSM)
Background and Objectives: Nowadays, production and consumption of functional and dietary foods have increased. Since carbohydrates are one of the most important sources of increasing daily calories, food industries are focused on decreasing use of this important source and replacing it with non-calorie sweeteners. This objective of this study was to decrease sugar quantities in Gaz production,...
متن کاملRobustness-based portfolio optimization under epistemic uncertainty
In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...
متن کاملA Statistical Approach Towards Development and Optimization of Conventional Immediate Release Tablet of Nimorazole by Wet Granulation Technique
Till date, most of the drugs have been given in conventional immediate release dosage form. Nimorazole is an anticancer drug, used as a hypoxic radiosensitizer in patients undergoing radiotherapy and no formulation has been available in the market till now. Hence, for the purpose to develop an immediate release dosage form, a statistical optimization process has been employed to quantify the ef...
متن کاملFinite Element Model Updating Using Response Surface Method
Finite element (FE) models are widely used to predict the dynamic characteristics of aerospace structures. These models often give results that differ from the measured results and therefore need to be updated to match the measured data. FE model updating entails tuning the model so that it can better reflect the measured data from the physical structure being modeled 1. One fundamental charact...
متن کامل