The R package vdg provides a flexible interface for producing various graphical summaries of the prediction variance associated with specific linear model specifications and experimental designs. These methods include variance dispersion graphs, fraction of design space plots and quantile plots which can assist in choosing between a catalogue of candidate experimental designs. Instead of restri...

Abstract This paper explores the optimal design of cone bit nozzle diameter and a comparative analysis tooth stress. When drilling tricone bit, direct contact between roller casing wellbore is prone to wear. The fluid emitted from helps reduce friction temperature. In this paper, three-dimensional model established using software, then surface shear stress under action flow field simulated. lar...

Mathematical models are expected to play a pivotal role for driving microalgal production towards a profitable process of renewable energy generation. To render models of microalgae growth useful tools for prediction and process optimization, reliable parameters need to be provided. This reliability implies a careful design of experiments that can be exploited for parameter estimation. In this ...

parametric design optimization of an automotive body crashworthiness improvement is presented. the thicknesses of parts are employed as design variables for optimization whose objective is to increase the maximum deceleration value of the vehicle center of gravity during an impact. using the taguchi method, this study analyzes the optimum conditions for design objectives and the impact factors ...

Optimization strategies driven by machine learning, such as Bayesian optimization, are being explored across experimental sciences an efficient alternative to traditional design of experiment. When combined with automated laboratory hardware and high-performance computing, these enable next-generation platforms for autonomous experimentation. However, the practical application approaches is ham...

Abstract The development of self-healing concrete (SHC) is intensively implemented to improve stability and reduce maintenance costs. However, the experiments require many parameter variations, increasing cost. Taguchi methods are used in experimental design obtain variations optimal parameters cost experiment. stages this study secondary data collection increase compressive strength, testing m...