Results 301 to 310 of about 3,378,607 (346)
Some of the next articles are maybe not open access.
Optimal robot placement using response surface method
The International Journal of Advanced Manufacturing Technology, 2008This paper is concerned with a new approach for optimal placement of a prescribed task in the workspace of a robotic manipulator. The approach is resulted by applying response surface method on concept of path translation and path rotation. A robotic optimization tool based on this approach is developed as an add-in to RobotStudio.
Behnam Kamrani +4 more
openaire +1 more source
2018
Response surface methods (RSM) are primarily relevant when the decision-maker desires (1) to create a relatively accurate prediction of engineered system input-output relationships and (2) to “tune” or optimize thoroughly of the system being designed.
openaire +1 more source
Response surface methods (RSM) are primarily relevant when the decision-maker desires (1) to create a relatively accurate prediction of engineered system input-output relationships and (2) to “tune” or optimize thoroughly of the system being designed.
openaire +1 more source
Response Surface Methods for Bi-Randomization Structures
Journal of Quality Technology, 1996Cost control, resource availability, and/or difficulty in performing complete randomizations may dictate the necessity to run response surface experiments in a bi-randomization error control format of which the split-plot design is a special case. Respo..
Jennifer D. Letsinger +2 more
openaire +1 more source
Application of the response surface method
2007The response surface method can be applied to numerous fields of knowledge. In general, this method consists in approximation an unknown function by known function chosen appropriately. It can be successively utilised in reliability measures computations when the failure criterion does not depend on random variables explicitly.
Wojciech Pula, Jerzy Bauer
openaire +1 more source
QFD-based optimisation using response surface method
International Journal of Vehicle Design, 2002This paper suggests a customer-oriented optimisation method, called Quality Function Deployment (QFD) based optimisation method, to determine target levels of multiple design objectives that attain the maximum customer satisfaction level, and also satisfy a Pareto optimality condition.
Young soon Yang +2 more
openaire +1 more source
Multiple response surface methods in computer simulation
SIMULATION, 1977This paper reviews the application of multiple re sponse surfaces to multiple-variable optimization problems and describes how these techniques may be used in analyzing computer simulation experiments. An example with four response surfaces illustrates the method. In it a simulation of a tank duel is analyzed to determine the values of two independent
Montgomery, Douglas C. +1 more
openaire +2 more sources
ACS Applied Materials & Interfaces, 2011
Reactive surface coatings were used as an ideal precursor coating for the fabrication of three different photoswitchable surface coatings in parallel. Different light-responsive moieties, such as azobenzene, salicylideneaniline, and spiropyran, were immobilized on glass, polycarbonate, and steel surfaces.
Daniel, Kessler +4 more
openaire +2 more sources
Reactive surface coatings were used as an ideal precursor coating for the fabrication of three different photoswitchable surface coatings in parallel. Different light-responsive moieties, such as azobenzene, salicylideneaniline, and spiropyran, were immobilized on glass, polycarbonate, and steel surfaces.
Daniel, Kessler +4 more
openaire +2 more sources
Response Surface-Based Simulation Metamodelling Methods
2006Response surface-based simulation metamodelling procedure is presented. It is aided by a computer generated experimental designs, automatic control of simulation experiments and sequential optimisation of the metamodels fitted to a simulation response surface function.
openaire +1 more source
Response Surface Methods in Economics
Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1969Burdick, D. S., Naylor, T. H.
openaire +1 more source