منابع مشابه
Lifetime Prediction of Plastic Parts - Case Studies
Lifetime prediction of plastics is a very difficult proposition, but one that is becoming increasingly important as plastics are used in more demanding and critical applications. The lifetime of a plastic part is influenced greatly by many factors including the type of plastic, stress level, temperature, type of loading, and environmental conditions. All these factors make absolute lifetime pre...
متن کاملInvestigation of friction between plastic parts
The goal for this master thesis is to improve and map the main factors behind friction and wear for a commercial product used by Kongsberg automotive. Components in a gear shifter are investigated and the target is to achieve high tribological quality of the force transmission. Finding a solution for low friction and wear which is independent of lubrication is the main issue for all involved co...
متن کاملImproving Statistical Machine Translation through co-joining parts of verbal constructs in English-Hindi translation
Verb plays a crucial role of specifying the action or function performed in a sentence. In translating English to morphologically richer language like Hindi, the organization and the order of verbal constructs contributes to the fluency of the language. Mere statistical methods of machine translation are not sufficient enough to consider this aspect. Identification of verb parts in a sentence i...
متن کاملApplication of Soft Computing for the Prediction of Warpage of Plastic Injection Molded Parts
This paper deals with the development of accurate warpage prediction model for plastic injection molded parts using soft computing tools namely, artificial neural networks and support vector machines. For training, validating and testing of the warpage model, a number of MoldFlow (FE) analyses have been carried out using Taguchi’s orthogonal array in the design of experimental technique by cons...
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ژورنال
عنوان ژورنال: JOURNAL OF THE JAPAN WELDING SOCIETY
سال: 2009
ISSN: 0021-4787,1883-7204
DOI: 10.2207/jjws.78.634