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Tolerance Allocation Methodology for Manufacturing

SAE Technical Paper Series, 1996
<div class="htmlview paragraph">Wise specification of dimensional tolerances for manufactured parts is becoming recognized by the industry as a key to being competitive. This paper describes a tolerance allocation methodology that is based on: statistical stack-up approach using Taylor's Series, manufacturing capability, and manufacturing costs ...
Raj Kawlra, Walton Hancock
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Allocation of Spring Tolerances

Journal of Vibration and Acoustics, 1984
A rational method for allocating the tolerances on wire and coil sizes of helical springs is presented. Allocation of the tolerances on breadth, thickness, and length of a flat spring is also considered. Example problems are included and interesting conclusions are drawn.
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The Reduced Tolerance Allocation Problem

Volume 11: Systems, Design, and Complexity, 2016
Tolerance allocation is a necessary and important step in product design and development. It involves the assignment of tolerances to different dimensions such that the manufacturing cost is minimum, while maintaining the tolerance stack-up conditions satisfied.
David Sh. L. Shoukr   +2 more
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Optimum Tolerance Allocation in Assembly

The International Journal of Advanced Manufacturing Technology, 1999
This paper presents a new approach to optimum tolerancing of components in an assembly such that all interaction requirements are met. The requirements may be for unilateral tolerance for control of clearance and interference or they may be for bilateral tolerance control. A model showing the relationship between components is constructed directly from
B. K. A. Ngoi, Ong Jon Min
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Least cost tolerance allocation and bicriteria extension

International Journal of Computer Integrated Manufacturing, 1999
Due to the combinatorial scheme, the least cost tolerance allocation problem is an NP class problem. There have therefore been many studies into how to reduce the computational burden to solve the problem. However, in the practical situation, reducing both cost and tolerance is an interesting area for the decision maker (designer).
Chae-Bogk Kim   +3 more
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Control allocation-based fault tolerant control

Automatica, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ahmadreza Argha   +2 more
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Task allocation in fault-tolerant distributed systems

Acta Informatica, 1983
This paper examines task allocation in fault-tolerant distributed systems. The problem is formulated as a constrained sum of squares minimization problem. The computational complexity of this problem prompts us to consider an efficient approximation algorithm.
Joseph A. Bannister, Kishor S. Trivedi
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Fault Tolerant Classroom Allocation System

SSRN Electronic Journal, 2021
In the modern education and growing economy and population it heavily relies on advanced computational power. The deployment of the classroom allocation through computational approaches are very limited. Therefore, in this paper we have to design the classroom allocation system along with student subject choice. We implemented the code in C programming
Gyanendra Mohan Patel   +4 more
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Statistical Tolerance Allocation for Tab-Slot Assemblies Utilizing Tolerance-Maps

Journal of Computing and Information Science in Engineering, 2010
A new mathematical model for representing the geometric variations of tabs/slots is extended to include probabilistic representations of 1D clearance. The 1D clearance can be determined from multidimensional variations of the medial-plane for a slot or a tab, and from variations of both medial-planes in a tab-slot assembly. The model is compatible with
Gaurav Ameta   +2 more
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Least sensitive tolerance allocation

International Journal of Quality Engineering and Technology, 2011
A new formulation to the tolerance allocation based on minimum sensitivity is given. Several synthesis methodologies are reviewed to highlight their importance in details. A brief but complete literature review is given and conclusions are drawn. Objectives such as minimum cost functions, minimum sensitivity functions and minimum variance functions are
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