Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining
<p dir="ltr">Extensive research in smart manufacturing and industrial grinding has targeted the enhancement of surface roughness for diverse materials including Inconel alloy. Recent studies have concentrated on the development of neural networks, as a subcategory of machine learning...
محفوظ في:
| المؤلف الرئيسي: | Mohammadjafar Hadad (21142499) (author) |
|---|---|
| مؤلفون آخرون: | Samareh Attarsharghi (21086036) (author), Mohsen Dehghanpour Abyaneh (21225185) (author), Parviz Narimani (21225188) (author), Javad Makarian (17541351) (author), Alireza Saberi (21225191) (author), Amir Alinaghizadeh (17541357) (author) |
| منشور في: |
2024
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| الموضوعات: | |
| الوسوم: |
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مواد مشابهة
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An Experimental Investigation of the Effects of Dressing and Grinding Parameters on Sustainable Grinding of Inconel 738 Used for Automated Manufacturing
حسب: Mohammadjafar Hadad (17541345)
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منشور في: (2023) -
Towards Industry 4.0 and Sustainable Manufacturing Applying Environmentally Friendly Machining of a Precipitation Hardened Stainless Steel Using Hot Turning Process
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منشور في: (2023) -
Experimental Study of the Surface Quality of Form-Cutting Tools Manufactured via Wire Electrical Discharge Machining Using Different Process Parameters
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منشور في: (2023) -
Evaluation of the Surface Integrity and Recast Layer in Electrical Discharge Turning of WC-Co Composites
حسب: Mehdi Soleymani (3347741)
منشور في: (2024)