s of U.S. DOE publications 184 226,087 111 120.4

Research in chemical engineering requires experiments, which are often expensive, time-consuming, and laborious. Design of experiments (DoE) aims to extract maximal information from a minimum number experiments. The combination DoE with machine learning leads the field active learning, results more flexible, multi-dimensional selection Active has not yet been applied reaction modeling, as most ...

This expository paper discusses the relationships among metamodels, simulation models, and problem entities. A metamodel or response surface is an approximation of the input/output function implied by the underlying simulation model. There are several types of metamodel: linear regression, splines, neural networks, etc. This paper distinguishes between fitting and validating a metamodel. Metamo...

1. Foundations for problem solving and improvement 2. Framework for capability: The broader quality system 3. 1.33 as an objective: Factors and relationships to variation, charts 4. Using the charts to solve problems, reduce variation, make improvements 5. Fliers, outliers, trends, and other out of control conditions 6. Systematic use of data and charts: Revisiting basic SPC conditions 7. Quali...

Design of experiments (DOE) has become an essential tool for validation of medical manufacturing processes. Kim and Kalb provided a good overview of the techniques. They say “the process should be challenged to discover how outputs change as variables fluctuate within allowable limits.” This article shows how we challenged our durable medical device – a paraffin heat-therapy bath. We first ran ...

Statistical design of experiments (DoE) aims to develop a near efficient while minimising the number required. This is an optimal approach especially when there need investigate multiple variables. DoE powerful methodology for wide range applications, from manufacturing processes accurate evaluation global optima in numerical studies. The contribution this paper provide general introduction sta...

Passive monitoring of polychlorinated biphenyls (PCB) using semipermeable membrane devices (SPMD) was employed to evaluate the contribution of point and nonpoint sources to the flux of PCB in a drainage system encompassing three U.S. Department of Energy (U.S. DOE) industrial and research facilities in eastern Tennessee, USA. Polychlorinated biphenyls concentrations were highest at outfalls con...

In this study, the feasibility of spatial filter velocimetry (SFV) as process analytical technology tool for the in-line monitoring of the particle size distribution during top spray fluidized bed granulation was examined. The influence of several process (inlet air temperature during spraying and drying) and formulation variables (HPMC and Tween 20 concentration) upon the particle size distrib...

In Robotics and Intelligent Machines in the U.S. Department of Energy: A Critical Technology Roadmap, the DOE has identified the potential for Robots and Intelligent Machines (RIM) to greatly reduce cost, improve worker health and safety, augment product quality and increase overall productivity. In its long-term vision, the DOE has predicted that such RIM capabilities will be as pervasive and ...

The objective of this study is to develop a new modified Bayesian Kriging (MBKG) surrogate modeling method that can be used to carry out confidence-based reliability-based design optimization (RBDO) for problems in which simulation analyses are inherently noisy and standard Kriging approaches fail. The formulation of the MBKG surrogate modeling method is presented, and the full conditional dist...