Reference health

Deformation control through fixture layout design and clamping force optimization

https://doi.org/10.1007/s00170-007-1153-2
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17/17 checkable references clean · checked 2026-08-10

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

6 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 17 checked references that resolve
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Theoretical approach for generating optimal fixturing locations for prismatic workparts in automated assembly
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Fast support layout optimization
resolves10.1016/S0890-6955(98)00072-8
Improved workpiece location accuracy through fixture layout optimization
resolves10.1007/s001700170198
Fixture Clamping Force Optimisation and its Impact on Workpiece Location Accuracy
resolves10.1007/PL00003951
Optimal Fixture Design Accounting for the Effect of Workpiece Dynamics
resolves10.1115/1.3187103
Finite-Element Analysis of Flexible Fixturing System
resolves10.1115/1.2899715
Optimization Methods Applied to Selecting Support Positions in Fixture Design
resolves10.1115/1.2831031
Deformable Sheet Metal Fixturing: Principles, Algorithms, and Simulations
resolves10.1016/j.ijmachtools.2005.07.040
Determination of minimum clamping forces for dynamically stable fixturing
resolves10.1016/S0890-6955(01)00113-4
An investigation into the use of spatial coordinates for the genetic algorithm based solution of the fixture layout optimization problem
resolves10.1016/S0890-6955(01)00114-6
An investigation of the effectiveness of fixture layout optimization methods
resolves10.1016/S0890-6955(99)00072-3
Machining fixture layout optimization using the genetic algorithm
resolves10.1115/1.1414127
Iterative Fixture Layout and Clamping Force Optimization Using the Genetic Algorithm
resolves10.1007/s10462-004-7187-z
Intelligent Fixture Design through a Hybrid System of Artificial Neural Network and Genetic Algorithm
resolves10.1016/j.compind.2005.05.001
Machining fixture locating and clamping position optimization using genetic algorithms
resolves10.1007/s001700300048
The Application of Chip Removal and Frictional Contact Analysis for Workpiece-Fixture Layout Verification
The 6 references without a DOI — listed, not checked
no DOI — not checkedQin GH, Zhang WH, Zhou XL (2005) Modeling and optimal design of fixture clamping scheme. Mech Sci Technol 24(4):438–442, 446, (in Chinese)
no DOI — not checkedWu NH, Chan KC (1996) A genetic algorithm-based approach to optimal fixture configuration. Compute Eng 31(3/4):919–924
no DOI — not checkedIshikawa Y, Aoyama T(1996) Optimization of fixturing condition by means of the genetic algorithm. Trans J Sci Manuf Eng, Part C 65:2409–2416
no DOI — not checkedLai XM, Luo LJ, Lin ZQ (2004) Flexible assembly fixture layout modeling and optimization based on genetic algorithm. Chin J Mech Eng 1:89–92
no DOI — not checkedKumar AS, Subramaniam V, Seow KC (2001) Conceptual design of fixtures using genetic algorithms. J Intell Manuf 12(2):31–42
no DOI — not checkedZhou XL, Zhang WH, Qin GH (2005) On optimizing fixture layout and clamping force simultaneously using genetic algorithm (in Chinese). Mech Sci Technol 24(3):339–342
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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