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Non-smooth dynamics of spur gears with manufacturing errors

Journal of Sound and Vibration, 2007
This paper presents a method for analysing nonlinear vibrations of spur gears in presence of manufacturing errors. The approach is based upon the classical one-degree-of-freedom model, with backlash and time varying stiffness. Manufacturing errors are treated stochastically, starting from the knowledge of the gear tolerance class.
BONORI G, PELLICANO, Francesco
openaire   +1 more source

Out-of-plane geometric error prediction for additive manufacturing

2015 IEEE International Conference on Automation Science and Engineering (CASE), 2015
Additive Manufacturing (AM) is a promising direct manufacturing technology and geometric accuracy of AM built products is crucial to fulfill the promise of AM. The prediction of the out-of-plane or z direction geometric errors has been a daunting task for AM.
Yuan Jin   +2 more
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Understanding error management in manufacturing

Development and Learning in Organizations: An International Journal
Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who
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Error Equivalence Methodology for Dimensional Variation Control in Manufacturing

2008 IEEE Conference on Robotics, Automation and Mechatronics, 2008
The product dimensional quality could be affected by multiple error sources in manufacturing processes. One widely observed engineering phenomenon is that different error sources can result in identical error patterns on product features. For example, deviations in fixture locators and workpiece datum surfaces can produce the same type of dimensional ...
Qiang Huang 0001, Hui Wang
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Extending error recovery capability in manufacturing by machine reasoning

IEEE Transactions on Systems, Man, and Cybernetics, 1993
In industrial applications, the quantity of error recovery codes far exceeds that required for supervisory control. Declarative programming techniques can be integrated with the traditional procedural control to reduce the efforts in developing error recovery codes and to provide flexibility for future modifications as new error types are encountered ...
DICESARE F   +3 more
openaire   +1 more source

Automatic desensitization of optical systems to manufacturing errors

Measurement Science and Technology, 1995
The theoretical performance of an optical instrument can be greatly reduced in practice by the effect of manufacturing errors on the quality of its optical system. This design note describes the development and testing of software that can be used to desensitize optical systems during the design process, by incorporating suitable code into a damped ...
S J Dobson, A Cox
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Mathematical model of the occurrence of human error in manufacturing processes

Quality and Reliability Engineering International, 2010
AbstractVarious types of phenomena contribute to the variability of process results. Their common feature is randomness. Some of them can be described by continuous probability distributions, for example, the performance of machines or the properties of processed material.
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Influence of manufacturing error for characteristics of bearing

2002
Influence of manufacturing error for characteristics of multi-lobe bearing was analyzed and the optimum allowable value of manufacturing error of multi-lobe bearing was evaluated. As a result, Comparing manufacturing errors of the position of the lobe curvature center, the radius of the lobe curvature, the inclination of the lobe and the lobe length ...
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Pharmaceutical manufacturing: RFID – reducing errors and effort

Filtration & Separation, 2007
Millipore's recent launch of RFID tag inclusive products are intended to communicate critical filter specific information to the user. George Adams and Aaron Burke explain the background to the technology and how they envisage RFID will improve efficiency.
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Manufacturer warnings of system-related medication errors

American Journal of Health-System Pharmacy, 2002
David B, Brushwood, Almut, Winterstein
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