Reference health
Optimization of a clamping concept based on machine learning
56/56 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.
9 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 56 checked references that resolve
resolves10.1016/j.ijmachtools.2017.07.004
State-of-the-art in fixture systems for the manufacture and assembly of rigid components: A review
resolves10.1016/S0007-8506(07)60166-8
Automatic Loading of Machining Systems and Automatic Clamping of Workpieces
resolves10.1016/S0278-6125(04)80043-8
Diagnosis of multiple fixture faults in machining processes using designated component analysis
resolves10.1007/978-3-642-16587-0_2
An Uncertainty Approach for Fixture Layout Optimization Using Monte Carlo Method
resolves10.1007/978-3-319-45291-3
Intelligent Fixtures for the Manufacturing of Low Rigidity Components
resolves10.1016/S0278-6125(02)90012-9
Computer aided fixture design: Using information intensive function models in the development of automated fixture design systems
resolves10.1016/j.jmatprotec.2005.02.181
Knowledge model as an integral way to reuse the knowledge for fixture design process
resolves10.1016/j.rcim.2009.02.001
Fixture knowledge model development and implementation based on a functional design approach
resolves10.1016/S0007-8506(07)62732-2
Fixture Design with FIXES: the Automatic Selection of Positioning, Clamping and Support Features for Prismatic Parts
resolves10.1016/j.jmsy.2013.09.002
STEP-NC compliant approach for setup planning problem on multiple fixture pallets
resolves10.1016/j.rcim.2011.05.002
A feature-based fixture design methodology for the manufacturing of aircraft structural parts
resolves10.1016/j.rcim.2006.06.003
Automated modular fixture planning based on linkage mechanism theory
resolves10.1016/j.procir.2017.02.008
Optimization of Machining Fixture for Aeronautical Thin-walled Components
resolves10.1016/j.promfg.2015.09.079
Fixture Design Optimisation Considering Production Batch of Compliant Non-Ideal Sheet Metal Parts
resolves10.1016/j.jmatprotec.2004.01.043
Machine capability and fixturing constraints-imposed automatic machining set-ups generation
resolves10.1007/s00170-014-6247-z
Concurrent fixture design for automated manufacturing process planning
resolves10.1007/s00170-013-5249-6
Recent developments on machining fixture layout design, analysis, and optimization using finite element method and evolutionary techniques
resolves10.1016/j.rcim.2010.05.008
A review and analysis of current computer-aided fixture design approaches
resolves10.1016/0952-1976(90)90025-H
Features of second-generation expert systems—An extended overview
resolves10.1016/S0010-4485(00)00032-4
An automated design and assembly of interference-free modular fixture setup
resolves10.1023/A:1018541812444
The application of neural networks in fixture planning by pattern classification
resolves10.1007/s00170-012-4281-2
Design and optimization of machining fixture layout using ANN and DOE
resolves10.1007/s00170-007-1153-2
Deformation control through fixture layout design and clamping force optimization
resolves10.1007/s00170-012-4564-7
Multi-objective optimization design of a fixture layout considering locator displacement and force–deformation
resolves10.1007/s00170-009-2035-6
Machining fixture layout design using ant colony algorithm based continuous optimization method
resolves10.1007/s00170-016-9638-5
Optimum fixture locating layout for sheet metal part by integrating kriging with cuckoo search algorithm
resolves10.1016/j.ijmachtools.2005.04.007
Prediction of workpiece deformation in a fixture system using the finite element method
resolves10.1016/j.proeng.2012.06.206
Machining Fixture Layout Design for Milling Operation Using FEA, ANN and RSM
resolves10.1007/s00170-006-0908-5
The study of fixture stiffness part I: a finite element analysis for stiffness of fixture units
resolves10.1016/j.cad.2014.12.006
A virtual fixture using a FE-based transformation model embedded into a constrained optimization for the dimensional inspection of nonrigid parts
resolves10.1016/S0007-8506(07)62954-0
A Fast Analytical Method to Compute Optimum Stiffness of Fixturing Locators
The 9 references without a DOI — listed, not checked
no DOI — not checkedRong YK, Huang S (2005) Advanced computer-aided fixture design. Elsevier, Amsterdam
no DOI — not checkedDenkena B, Möhring H-C, Litwinski K, Heinisch D (2008) Simulation based design of gentelligent fixtures. In: CIRP 1st Int. Conf. on Process Machine Interactions 205–212
no DOI — not checkedRong Y, Wu S, Chu TP (1994) Automated verification of clamping stability in computer-aided fixture design. Comput Eng 1:421–421
no DOI — not checkedFleischer J, Broos A (2004) Parameteroptimierung bei werkzeugmaschinen-anwendungsmöglichkeiten und potentiale. Weimarer Optimierungs-und Stochastiktage 1
no DOI — not checkedSeidel C, Wunderer M, Zäh MF, Weirather J, Schilp J, Slosharek H, Graner S, Brenner S (2014) Simulation des 3d-druckens mittels laserstrahlschmelzen unter verwendung von apdl-makro-dateien - potenziale und herausforderungen. CADFEM Users Meeting 1–17
no DOI — not checkedHemmerich W (2020) Multiple lineare regression voraussetzung 4: Multikollinearität. https://statistikguru.de/spss/multiple-lineare-regression/voraussetzung-multikollinearitaet.html. Accessed 11 May 2021
no DOI — not checkedGéron A (2019) Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems. O’Reilly Media
no DOI — not checkedScikit-learn-developers, scikit-learn user guide (2020). https://scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html. Accessed 11 May 2021
no DOI — not checkedXGBoost-developers, Xgboost tutorials (2020). https://xgboost.readthedocs.io/en/latest/tutorials/index.html. Accessed 11 May 2021
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