دانلود و نمایش مقالات مرتبط با Cutting tool::صفحه 1
بلافاصله پس از پرداخت دانلود کنید

با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد). 

نتیجه جستجو - Cutting tool

تعداد مقالات یافته شده: 11
ردیف عنوان نوع
1 Analyzing the effects of machining parameters on surface roughness of machined surfaces using vision system
تجزیه و تحلیل اثرات پارامترهای ماشینکاری بر زبری سطح سطوح ماشینکاری با استفاده از سیستم بینایی-2021
Surface roughness measurement of machined components helps in predicting the success or failure of component when it is put into service. Surface roughness measurement is also used to judge capability of manufacturing process. Surface roughness evaluation is also used for monitoring the condition of cutting tool or machine tool. Any change in process parameter or condition of the cutting tool results in changes in surface geometry and texture. Usually, the factors affecting the machining capability are its own inherent properties such as, feed, speed, depth of cut, tools, coolant flow rate etc. Relationship between stylus measured roughness and vision surface roughness (Ra) has been studied. As for as the knowledge of authors no research work has been reported about determining the effects of cutting parameters on surface roughness of milled components. In this context, the present research works assumes special significance. An attempt has been made in the current research work to explore the effect of cutting parameters on surface roughness of milled surfaces using vision system.© 2021 Elsevier Ltd. All rights reserved.
Keywords: Surface roughness | Vision system | Machine tool | Cutting tool | Machining parameters
مقاله انگلیسی
2 Deep learning enabled cutting tool selection for special-shaped machining features of complex products
یادگیری عمیق انتخاب ابزار برش را برای ویژگی های ماشینکاری خاص محصولات پیچیده امکان پذیر می کند-2019
Each complex product contains many special-shaped machining features required to be machined by the specific customized cutting tools. In this context, we propose a deep learning based cutting tool selection approach, which contributes to make it effective and efficiency for and also improves the intelligence of the process of cutting tool selection for special-shaped machining features of complex products. In this approach, one-to-one correspondence between each special-shaped machining feature and each cutting tool is first analyzed and established. Then, the problem of cutting tool selection could be transformed into a feature recognition problem. To this end, each special-shaped machining feature is represented by its multiple drawing views that contain rich information for differentiating each of these features. With numbers of these views as training set, a deep residual network (ResNet) is trained successfully for feature recognition, where the recognized features cutting tool could also be automatically selected based on the one-to-one correspondence. With the learned ResNet, engineers could use an engineering drawing to select cutting tools intelligently. Finally, the proposed approach is applied to the special-shaped machining features of a vortex shell workpiece to demonstrate its feasibility. The presented approach provides a valuable insight into the intelligent cutting tool selection for special-shaped machining features of complex products.
Keywords: Cutting tool selection | Special-shaped machining features | Complex products | Residual networks | Deep learning
مقاله انگلیسی
3 Heterogeneous data-driven hybrid machine learning for tool condition prognosis
یادگیری ماشین ترکیبی داده محور ناهمگن برای ابزار پیش بینی بیماری -2019
Cutting tool condition prognosis is critical to process stability and quality assurance, but affected by complex material-process interactions. This paper presents a hybrid machine learning method that integrates heterogeneous data (structured process parameters and unstructured power profiles and tool wear images) for tool condition prognosis. Surface and wear images are first analyzed by a convolutional neural network to identify surface roughness and wear severity. The results are subsequently fed into a recurrent neural network to reveal the relationship between tool condition degradation and power profiles. The fidelity of the method is validated in milling of H13 steel and Inconel 718.
Keywords: Machine learning | Energy | Surface
مقاله انگلیسی
4 Tuning of tool dynamics for increased stability of parallel (simultaneous) turning processes
تنظیم دینامیک ابزار برای افزایش ثبات پردازش های موازی (همزمان) چرخش-2016
Parallel (simultaneous) turning operations make use of more than one cutting tool acting on a common workpiece offering potential for higher productivity. However, dynamic interaction between the tools and workpiece and resulting chatter vibrations may create quality problems on machined surfaces. In order to determine chatter free cutting process parameters, stability models can be employed. In this paper, stability of parallel turning processes is formulated in frequency and time domain for two different parallel turning cases. Predictions of frequency and time domain methods demonstrated reasonable agreement with each other. In addition, the predicted stability limits are also verified experimentally. Simulation and experimental results show multi regional stability dia grams which can be used to select most favorable set of process parameters for higher stable material removal rates. In addition to parameter selection, developed models can be used to determine the best natural frequency ratio of tools resulting in the highest stable depth of cuts. It is concluded that the most stable operations are obtained when natural frequency of the tools are slightly off each other and worst stability occurs when the natural frequency of the tools are exactly the same.
مقاله انگلیسی
5 Optimization of geometry parameters for ceramic cutting tools in intermittent turning of hardened steel
بهینه سازی پارامترهای هندسه آلات برش سرامیک در تبدیل متناوب استیل سخت-2016
For the purpose of improving the ceramic cutting tool lives in intermittent hard turning, investigations on opti- mization of tool geometry parameters were conducted in the present study. The initial damage of the ceramic cutting tool was determined based on damage mechanics. The initial damage was more sensitive to the changes of porosity when it was relatively low. The stress distribution of the tool body was obtained using finite element simulation. The initial damage of the cutting tool and the tool stress were integrated on the basis of the concept of damage equivalent stress. The evolutions of the maximum value of damage equivalent stress on the tool body were acquired for different cutting length ratios and different combinations of tool geometry parameters. The highest value of damage equivalent stress in one cutting cycle was proposed as a new indicator for optimization of tool geometry parameters. The contribution order of tool geometry parameters for the indicator was corner radius, cutting edge angle and rake angle. This order stayed the same at different cutting length ratios. The opti- mization method for ceramic tool geometry parameters was proposed and it was validated through intermittent turning tests.© 2015 Elsevier Ltd. All rights reserved.
Keywords: Optimization | Tool geometry parameters | Ceramic cutting tool | Intermittent turning | Hardened steel
مقاله انگلیسی
6 Wear estimation of ceramic and coated carbide tools in turning of Inconel 625: 3D FE analysis
برآورد پوشش ابزار کاربید سرامیک و پوشش داده شده در تبدیل اینکونل 625: تجزیه و تحلیل سه بعدی FE-2016
Examination of cutting tool wear by experimental approaches is too costly. The main objective of this work is to develop an accurate 3D finite element model to predict the tool wear of PVD-TiAlN coated carbide and ceramic inserts in turning of Inconel 625. Thus, the cutting tools with complex geometries are modeled. Usui wear rate model is used to estimate wear rate where its constant parameters are achieved based on the cutting tools and workpiece material. The verification tests showed that the predicted values are in good agreement with the experiments. Moreover, among the cutting parameters, the increase of depth of cut were found as the most effective factor on the generation of temperature and stresses on the tool faces.& 2016 Elsevier Ltd. All rights reserved.
Keywords: Machining | Wear | Ceramic | Finite-element method
مقاله انگلیسی
7 شبیه سازی رفتار دیفوزیونی دینامیک ملکول کبالت و تیتانیم واثراتشان بروی سایش ابزارهای WC/CO هنگامی که آلیاژهای Ti ماشینکار شده
سال انتشار: 2016 - تعداد صفحات فایل pdf انگلیسی: 10 - تعداد صفحات فایل doc فارسی: 28
در پروسه ماشینکاری آلیاژهای تیتانیم به علت سایش ابزار در فصل مشترک تراشه / ابزار در دماهای بالا وتنش شدید، امکان فعالیت نفوذ اتمی وجود دارد. در این مقاله گرما و تنش در فصل مشترک با شبیه سازی المان محدود بررسی و مطالعه رفتار دیفوزیونی فصل مشترک تیتانیم/ کبالت در مقیاس اتمی جهت شبیه سازی دینامیک ملکولی مورد استفاده قرار گرفت. نتایج نشان میدهد، سرعت برشکاری اعمالی بطور برجسته ای نقش مهمی در دیفوزیون فصل مشترک تیتانیم کبالت داشته و نفوذ اتمی در راستای فصل مشترک با افزایش سرعت برشکاری و بالاترین سرعت برشکاری مطابق با ضخیم ترین لایه نفوذ، بیشترین اهمیت را دارد. ناحیه فصل مشترک به صورت یک ساختار آمورف منظم در بالاترین سرعت برشکاری نمایش داده شد، که نفوذ اتم تیتانیم به سمت اتم کبالت متناسب با بزرگترین فاصله میان اتم های کبالت ، آسان تر بود. آنالیز براساس عنصر دیفوزیونی، بر روی عمق پروفیل بوسیله طیف سنجی الکترونی اوژه انجام شد. نتایج شبیه سازی از راه آزمایش بوسیله انجام آزمون های تراشکاری تایید شد و مکانیزم میکروسکوپی سایش دیفوزیونی از ابزار مشخص شد، که این مطالعه از عوامل درک بهتر مکانیزم سایش ابزارها برش در ماشینکاری آلیاژهای تیتانیم میباشد.
کلیدواژه ها: دینامیک مولکولی | نفوذ | سطوح | ابزار برش
مقاله ترجمه شده
8 Estimating the remaining useful tool life of worn tools under different cutting parameters: A survival life analysis during turning of titanium metal matrix composites (Ti-MMCs)
برآورد عمر ابزار مفید باقی مانده از ابزار های فرسوده تحت پارامترهای مختلف برش: تجزیه و تحلیل زندگی برای بقا در طول تبدیل کامپوزیت های زمینه فلزی تیتانیومی (Ti-MMCs)-2016
Utilizing the full tool life capacity of cutting tools has always been a concern, due to the considerable costs associated with suboptimal replacement of tools. Reliable reuse of worn inserts could significantly reduce machining costs. This study aims at estimating the remaining useful life of worn cutting inserts under multiple cutting parameters during turning of Ti-MMCs, using the actual tool wear value of the worn tool as the input data. A proportional hazards model with a Weibull baseline is developed. Maximum flank wear length at the transition point between the second and third state of tool wear is chosen as the failure criteria. Tool wear, cutting speed and feed rate are considered as the covariates of the model. The reliability and hazard functions are calculated from the model and are utilized to obtain the mean residual life of inserts under different cutting parameters and tool wear levels. The accuracy of the model is validated using experimental data. The results confirmed the validity and reliability of the model.© 2015 CIRP.
Keywords: Tool life estimation | Worn tools | Survival analysis
مقاله انگلیسی
9 Online Prediction of Cutting Tool Life in Turning via Cognitive Decision Making
پیش بینی آنلاین ابزار برش زندگی در تبدیل از طریق تصمیم گیری شناختی-2016
Multiple sensor monitoring of machining was investigated for online cutting tool life assessment through cognitive decision making based on signal processing for feature extraction and pattern recognition. Sensor signals obtained from sensor monitoring of turning operations were processed and analysed. The outcome was a set of extracted signal features correlated with the consumed tool life percentage. The aim of the work is to build an online cognitive system, based on artificial neural networks, able to predict the consumed tool life during turning operations. A preliminary experimental campaign was carried out for the construction of the sensorial knowledge database; the neural network type, architecture and training algorithm. After setting up the sensorial knowledge database and the neural network paradigm, the cognitive decision making system is ready to be implemented for online cutting tool life prediction during actual turning operations by exploiting the capacity of neural networks to constantly learn and improve through interaction with the sensorial data acquisition and processing system.© 2015 The Authors. Published by Elsevier B.V.Peer-review under responsibility of the Scientific Committee of 48th CIRP Conference on MANUFACTURING SYSTEMS - CIRP CMS 2015.© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Peer-review under responsibility of the scientific committee of 48th CIRP Conference on MANUFACTURING SYSTEMS - CIRP CMS 2015
Keywords: Tool wear in turning | sensor monitoring of machining processes | neural network | online decision making systems
مقاله انگلیسی
10 Study on the influence of fluid application parameters on tool vibration and cutting performance during turning of hardened steel
بررسی تاثیر پارامترهای برنامه مایع بر روی ارتعاش ابزار و عملکرد برش در طول تبدیل استیل سخت-2016
Recently the concept of hard turning has gained much attention in the metal cutting industry. In hard turning, multiple operations can be performed in single step, thereby it replaces the traditional process cycle. But it involves very large quantities of cutting fluid. Procurement, storage and disposal of cutting fluid involve expenses and environmental problem. Pure dry turning is a solution to this problem as it does not require any cutting fluid at all. But pure dry turning requires ultra hard cutting tools and extremely rigid machine tools, and also it is difficult to implement in the existing shop floor as the machine tool may not be rigid enough to support hard turning. In this context, turning with minimal fluid application is a viable alternative wherein, extremely small quantities of cutting fluid are introduced at critical contact zones as high velocity pulsing slugs, so that for all practical purposes it resembles pure dry turning and at the same time free from all the problems related to large scale use of cutting fluid as in conventional wet turning. In this study, fluid application parameters that characterize the minimal fluid application scheme were optimized and its effect on cutting performance and tool vibration was studied. From the results, it was observed that minimal fluid application in the optimized mode brought forth low vibration levels and better cutting performance.
Keywords: Tool vibration | Hard turning | Minimal fluid application | Injector | Surface finish | Pulsing jet
مقاله انگلیسی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi
بازدید امروز: 548 :::::::: بازدید دیروز: 0 :::::::: بازدید کل: 548 :::::::: افراد آنلاین: 66