Topic
Stamping
About: Stamping is a research topic. Over the lifetime, 22501 publications have been published within this topic receiving 83554 citations.
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TL;DR: In this paper, the authors studied the performance of laser-heating assisted micro-stamping and found that a desired temperature distribution is achievable for both copper-and steel-type materials, if a high-powered laser beam is used.
17 citations
TL;DR: In this article, the effect of temperature distribution on warm forming performance for 5083-O (Al-Mg) sheet metal blanks was investigated for deep drawing and two-dimensional stamping cases.
17 citations
Patent•
21 Mar 2002
TL;DR: In this paper, the laminations can be provided by either a stamping machine or a laser cutting device, with the same laser source used for laser welding of the stacked Laminations.
Abstract: The laminations packet manufacturing machine (1) has a device for feeding the metal sheet (3) to a machining unit for stamping out the required laminations contours, before stacking the laminations and welding them together to provide the laminations packet (2). The laminations can be provided by a stamping machine or a laser cutting device, with the same laser source used for laser welding of the stacked laminations. An Independent claim for an electrical machine laminations packet manufacturing method is also included.
17 citations
Patent•
24 May 2000
TL;DR: In this article, a planar thin film sensor array module is embedded flush with the functional surface of a molding tool, which comprises a sensor layer between an electrically insulating layer and a tribological layer.
Abstract: A shaping, stamping or injection molding tool (1), has a planar thin film sensor array module (5) embedded flush with the functional surface of the tool. AN Independent claim is also included for production of the above tool (1). Preferred Features: Each thin film sensor comprises a sensor layer between an electrically insulating layer and a tribological layer which forms the module surface (11).
17 citations
TL;DR: The comparative study reveals that the ANN system outperforms the traditional linear regression analysis model and conventional approach used for cost estimation and it is possible for firms which produce stamping dies to obtain a fairly accurate prediction with an ANN model and determined criteria.
Abstract: Although artificial neural networks (ANN) are more known in the field of image recognition and forecasting, cost estimation has become another emerging area in recent years. In this study, the establishment of an intelligent system was attempted for forecasting the total cost of sheet metal stamping dies. In this context, where the cost of stamping dies is estimated with a conventional approach which has been applied in the company up to now, the ANN and multiple regression analysis and the performance of the three cost-estimation models are examined. The examinations are based on the data of previous costs and use a number of critical criteria which are decided by experienced tool makers and engineers from every level of the organization of the seven companies which produce stamping dies. The comparative study reveals that the ANN system outperforms the traditional linear regression analysis model and conventional approach used for cost estimation. Thus, it is possible for firms which produce stamping dies to obtain a fairly accurate prediction with an ANN model and determined criteria.
17 citations