مقاله انگلیسی رایگان در مورد روش منطق فازی برای بررسی سنگ زنی سرامیک آلومینا با استفاده از حداقل مقدار روغنکاری – وایلی ۲۰۱۹

wiley

 

مشخصات مقاله
ترجمه عنوان مقاله روش منطق فازی برای بررسی سنگ زنی سرامیک آلومینا با استفاده از حداقل مقدار روغنکاری
عنوان انگلیسی مقاله Fuzzy logic method to investigate grinding of alumina ceramic using minimum quantity lubrication
انتشار مقاله سال ۲۰۱۹
تعداد صفحات مقاله انگلیسی ۱۶ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه وایلی
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) Master Journal List – JCR – Scopus
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
شناسه ISSN ۱۷۴۴-۷۴۰۲
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر دارد
رفرنس دارد
رشته های مرتبط مهندسی مواد
گرایش های مرتبط متالورژی، نانو مواد، متالورژی صنعتی
نوع ارائه مقاله
ژورنال
مجله  مجله بین المللی فناوری سرامیک کاربردی – International Journal Of Applied Ceramic Technology
دانشگاه Department of Mechanical Engineering, Centre of Advanced Manufacturing and Material Processing, University of Malaya, Kuala Lumpur, Malaysia
کلمات کلیدی سنگ زنی، آلومینا، نانوذرات، نانولوله های کربن، منطق فازی، آلومینا
کلمات کلیدی انگلیسی grinding، alumina، nanoparticles، carbon nanotube، fuzzy logic، alumina
شناسه دیجیتال – doi
https://doi.org/10.1111/ijac.13219
کد محصول E12689
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract

۱- INTRODUCTION

۲- EXPERIMENTATION

۳- EXPERIMENTAL RESULTS

۴- FUZZY LOGIC

۵- DISCUSSION

۶- CONCLUSIONS

REFERENCES

 

بخشی از متن مقاله:

Abstract

The use of nanofluid in lubrication during machining of advanced engineering ceramics has been found to be highly efficient and eco‐friendly. This work involves experimental investigation of grinding Alumina (Al2O3) ceramic to determine the effect of the grinding variables. The grinding variables considered include depth of cut, feed rate, type of diamond wheel, and lubrication type. Moreover, the response parameters considered include grinding power, coefficient of friction, and surface quality. The responses obtained during the experiments were used to develop a fuzzy logic prediction model. The findings from this work can be concluded as follows: (a) The depth of cut and feed rate have direct proportional relationship with the grinding power and coefficient of friction. (b) The metallic bonded diamond wheel was found to have higher machining efficiency than the resinoid bonded one. (c) Higher number of diamond grits produces lower frictional coefficient. (d) The carbon nanotube based nanofluid when used in the minimum quantity lubrication (MQL) process proffers better lubrication capability than conventional flood cooling system. (e) The developed fuzzy logic models were found to have high prediction accuracies of 97.22%, 98.60%, and 96.8%, respectively, for grinding power, grinding force ratio, and surface roughness.

INTRODUCTION

Advanced engineering ceramics such as alumina, zirconia, silicon nitride etc have gained high popularity in biomedical and aerospace applications, due to their excellent hardness, high wear and thermal resistances, biocompatibility, and aesthetics. Among the conventional machining techniques used to machine advanced ceramics, surface grinding using diamond wheels is still the most efficient method utilized when processing the brittle materials. Studies have shown that machining takes up a bunch of the cost of producing advanced ceramic components. Due to their excessive hardness, there are many setbacks encountered during the machining of these kind of materials. Studies have shown that the difficulty encountered during the machining results about a great limitation to their extensive usage in various engineering fields. In addition, there is high rate formation of residual deformations such as macro and micro‐cracks, during machining of the brittle materials. These unwanted deformations have been found to deteriorate the quality of the manufactured components. As such, there is need to improve on the machining of these materials, especially improving the efficiency and achieving defect‐free components at lower costs.

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