کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1697345 | 1519251 | 2016 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Method for automating digital fixture-setups that are optimal for machining castings to minimize scrap
ترجمه فارسی عنوان
روش برای آرایش تنظیمات دیجیتالی که برای ریخته گری ماشینکاری بهینه هستند، برای به حداقل رساندن ضایعات
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
اتوماسیون، تنظیمات ثابت، ریخته گری، ماشینکاری، ساخت،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
چکیده انگلیسی
The motivation for this paper is to describe a method for lowering the cost of finishing large castings that have machined surfaces for attaching other components. Considerable time is required to set-up each cast part on a machine-tool, sometimes taking longer than the machining itself, and errors in set-up can result in scrapping expensive parts or attempts to salvage them by rework. Although the focus of the paper is to demonstrate a new technology and software for set-up prior to the machining of iron/aluminum/steel sand castings, the same technology also is applicable to large welded assemblies on which finished machining occurs. In this paper, we outline a method, currently being implemented, that can predictively, and off-line, identify the adjustments needed to position and orient each part in its fixture before machining operations begin so that, after machining, all finished features will lie in their tolerance zones. Computer models first simulate all the to-be-machined (TBM) surfaces and any contact points with the fixture by feature-fitting point clouds taken from selective scanning of the raw casting. The locations of these features are compared with their locations on the CAD model of the part. Then, by using the T-Map model for tolerances, all possible locations of the part in its machining fixture are identified so that all TBM faces lie in their tolerance-zones. An optimum location may then be chosen.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Manufacturing Systems - Volume 40, Part 2, July 2016, Pages 15-24
Journal: Journal of Manufacturing Systems - Volume 40, Part 2, July 2016, Pages 15-24
نویسندگان
Payam Haghighi, Satchit Ramnath, Nathan Kalish, Jiten V. Shah, Jami J. Shah, Joseph K. Davidson,