scholarly journals An Investigation on High-Resolution Temperature Measurement in Precision Fly-Cutting

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1530
Author(s):  
Daniel Gräbner ◽  
Tjarden Zielinski ◽  
Andrey Vovk ◽  
Oltmann Riemer ◽  
Bernhard Karpuschewski ◽  
...  
Keyword(s):  
Measurement Data ◽  
Machining Process ◽  
Machining Parameters ◽  
Good Match ◽  
Machining Processes ◽  
Machining Process Simulation ◽  
Fly Cutting ◽  
Advanced Machining ◽  
Simulation Results ◽  
Modification Of The Surface

The loads acting on a workpiece during machining processes determine the modification of the surface of the final workpiece and, thus, its functional properties. In this work, a method that uses thermocouples to measure the temperature in precision fly-cutting machining with high spatial and temporal resolution is presented. Experiments were conducted for various materials and machining parameters. We compare experimental measurement data with results from modern and advanced machining process simulation and find a good match between experimental and simulation results. Therefore, the simulation is validated by experimental data and can be used to calculate realistic internal loads of machining processes.

Application of Teaching

2015 ◽  
Vol 2 (2) ◽  
pp. 1-16 ◽  
Author(s):  
Nandkumar N. Bhopale ◽  
Nilesh Nikam ◽  
Raju S. Pawade
Keyword(s):  
Tool Path ◽  
End Milling ◽  
Optimization Technique ◽  
Milling Process ◽  
Parameters Optimization ◽  
Machining Parameters ◽  
Machining Processes ◽  
Conflicting Objectives ◽  
Advanced Machining ◽  
Teaching Learning

Recently advanced machining processes are widely used by manufacturing industries in order to produce high quality precise and very complex products. These advanced machining processes involve large number of input parameters which may affect the cost and quality of the products. Selection of optimum machining parameters in such advanced machining processes is very important to satisfy all the conflicting objectives of the process. This algorithm is inspired by the teaching-learning process and it works on the effect of influence of a teacher on the output of learners in a class. This paper presents the application of Response Surface Methodology coupled with newly developed advanced algorithm Teaching Learning Based Optimization Technique (TLBO) is applied for the process parameters optimization for ball end milling process on Inconel 718 cantilevers. The machining and tool related parameters like spindle speed, milling feed, workpiece thickness and workpiece inclination with tool path orientation are optimized with considerations of multiple response like deflection, surface roughness, and micro hardness of plate.

scholarly journals Parametric analysis of dry machining process using a novel integrated multi-attribute decision making approach

2022 ◽  
Vol 11 (2) ◽  
pp. 193-202
Author(s):  
G. Venkata Ajay Kumar ◽  
A. Ramaa ◽  
M. Shilpa
Keyword(s):  
Decision Making ◽  
Process Parameters ◽  
Machining Process ◽  
Machining Parameters ◽  
Machining Processes ◽  
Order Preference ◽  
Dry Conditions ◽  
Criteria Importance ◽  
The Right ◽  
Selection Of

In most of the machining processes, the complexity arises in the selection of the right process parameters, which influence the machining process and output responses such as machinability and surface roughness. In such situations, it is important to estimate the inter-relationships among the output responses. One such method, Decision-Making Trial and Evaluation Laboratory (DEMATEL) is applied to study the inter-relationships of the output responses. Estimation of proper weights is also crucial where the output responses are conflicting in nature. In the current study, DEMATEL technique is used for estimating the inter-relationships for output responses in machining of EN 24 alloy under dry conditions. CRiteria Importance Through Inter-criteria Correlation (CRITIC) method is used to estimate the weights and finally the optimal selection of machining parameters is carried out using Techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. The model developed guides the decision maker in selection of precise weights, estimation of the inter relationships among the responses and selection of optimal process parameters.

scholarly journals EFFECT OF MINIMUM QUANTITY LUBRICATION ON SURFACE ROUGHNESS IN TOOL-BASED MICROMILLING

2017 ◽  
Vol 18 (1) ◽  
pp. 147-154
Author(s):  
Mohammad Yeakub Ali ◽  
Wan Norsyazila Jailani ◽  
Mohamed Rahman ◽  
Muhammad Hasibul Hasan ◽  
Asfana Banu
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Spindle Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Microfluidic Channels ◽  
Machining Parameters ◽  
Machining Processes ◽  
Dry Cutting ◽  
Minimum Quantity

Cutting fluid plays an important role in machining processes to achieve dimensional accuracy in reducing tool wear and improving the tool life. Conventional flood cooling method in machining processes is not cost effective and consumption of huge amount of cutting fluids is not healthy and environmental friendly. In micromachining, flood cooling is not recommended to avoid possible damage of the microstructures. Therefore, one of the alternatives to overcome the environmental issues to use minimum quantity of lubrication (MQL) in machining process. MQL is eco-friendly and has economical advantage on manufacturing cost. However, there observed lack of study on MQL in improving machined surface roughness in micromilling. Study of the effects of MQL on surface roughness should be carried out because surface roughness is one of the important issues in micromachined parts such as microfluidic channels. This paper investigates and compares surface roughness with the presence of MQL and dry cutting in micromilling of aluminium alloy 1100 using DT-110 milling machine. The relationship among depth of cut, feed rate, and spindle speed on surface roughness is also analyzed. All three machining parameters identified as significant for surface roughness with dry cutting which are depth of cut, feed rate, and spindle speed. For surface roughness with MQL, it is found that spindle speed did not give much influence on surface roughness. The presence of MQL provides a better surface roughness by decreasing the friction between tool and workpiece.

scholarly journals Influence of machining parameters on surface texture of Inconel 718 after grinding with multi-granular wheels

2019 ◽  
Vol 91 (3) ◽  
Author(s):  
Adrian Kopytowski ◽  
Rafał Świercz ◽  
Rafał Nowicki ◽  
Grigor Stambolov
Keyword(s):  
Surface Texture ◽  
Inconel 718 ◽  
Cutting Speed ◽  
Processing Parameters ◽  
Feed Speed ◽  
Machining Parameters ◽  
Exploratory Research ◽  
Machining Processes ◽  
Advanced Machining ◽  
Machine Elements

Requirements currently imposed on machine elements are constantly growing. It requires to develop new, advanced machining processes. One of the commonly used finishing process is grinding. The article presents the results of the exploratory research in the process of surface grinding with abrasive multigrain wheels of samples made of Inconel 718. The influence of input parameters was investigated: cutting speed Vc, transverse feed speed Fp, longitudinal feed speed Fw, on roughness parameters (Sa) and the bearing capacity curve. Based on the conducted research, statistical models of the grinding process were elaborated, which allow to select the most favorable processing parameters depending on the required quality of the surface texture.

scholarly journals A Composite Evaluation Model of Sustainable Manufacturing in Machining Process for Typical Machine Tools

Processes ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 110 ◽  
Author(s):  
Lishu Lv ◽  
Zhaohui Deng ◽  
Tao Liu ◽  
Linlin Wan ◽  
Wenliang Huang ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Machine Tools ◽  
Manufacturing Industry ◽  
Orthogonal Experiment ◽  
Evaluation Model ◽  
Sustainable Manufacturing ◽  
Machining Process ◽  
Machining Parameters ◽  
Machining Processes ◽  
Carbon Efficiency

Machine tool is the basic manufacturing equipment in today’s mechanical manufacturing industry. A considerable amount of energy and carbon emission are consumed in machining processes, the realization of sustainable manufacturing of machine tools have become an urgent problem to be solved in the field of industry and academia. Therefore, five types of machine tools were selected for the typical machining processes (turning, milling, planning, grinding and drilling). Then the model of the energy efficiency, carbon efficiency and green degree model were established in this paper which considers the theory and experiment with the resource, energy and emission modeling method. The head frame spindle and head frame box were selected to verify the feasibility and practicability of the proposed model, based on the orthogonal experiment case of the key machining process. In addition, the influence rules of machining parameters were explored and the energy efficiency and green degree of the machine tools were compared. Finally, the corresponding strategies for energy conservation and emission reduction were proposed.

scholarly journals Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5326
Author(s):  
Andrés Sio-Sever ◽  
Erardo Leal-Muñoz ◽  
Juan Manuel Lopez-Navarro ◽  
Ricardo Alzugaray-Franz ◽  
Antonio Vizan-Idoipe ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
End Milling ◽  
Low Cost ◽  
Milling Process ◽  
Machining Process ◽  
Measuring System ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Machining Processes ◽  
Non Invasive

This work presents a non-invasive and low-cost alternative to traditional methods for measuring the performance of machining processes directly on existing machine tools. A prototype measuring system has been developed based on non-contact microphones, a custom designed signal conditioning board and signal processing techniques that take advantage of the underlying physics of the machining process. Experiments have been conducted to estimate the depth of cut during end-milling process by means of the measurement of the acoustic emission energy generated during operation. Moreover, the predicted values have been compared with well established methods based on cutting forces measured by dynamometers.

Empirical study on ultrasonic assisted turn-milling

2021 ◽  
pp. 095440892110087
Author(s):  
Saeid Amini ◽  
Mohammad Baraheni ◽  
Mohammad Khaki
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Ultrasonic Vibration ◽  
Feed Rate ◽  
Rotational Speed ◽  
Milling Process ◽  
Machining Process ◽  
Machining Parameters ◽  
Machining Processes ◽  
Turn Milling

Turn-milling process has been paid attention in order to be used in multi-task machining processes. Moreover, looking for new machining techniques aimed at reducing cutting force is of important. Reducing cutting force in machining processes has the benefits of extending tool life and improving surface quality. One of the new concepts for reducing the cutting force is applying ultrasonic vibration. In this paper, effects of ultrasonic vibration under different machining parameters in turn-milling process of Al-7075 alloy will be investigated. In this order, a special mechanism was designed to apply ultrasonic vibration during machining process. Ultrasonic vibration exertion on the tool reduced cutting force and surface roughness up to 75% and 35%, respectively. Also tool rotational speed increment induced cutting force and surface roughness increment. In addition, tool feed rate and workpiece rotational speed increment caused cutting force and surface roughness increment. Although, feed rate was more influential.

scholarly journals A Review on Recent Studies: Non-Traditional Machining of Titanium Alloys

2020 ◽  
Author(s):  
Mohammad Arafat ◽  
Ning Fanghua
Keyword(s):  
Titanium Alloys ◽  
Research Direction ◽  
Research Area ◽  
Raw Material ◽  
Machining Process ◽  
Machining Processes ◽  
Existing Problems ◽  
Industrial Sectors ◽  
Advanced Machining ◽  
Petroleum Chemical

Till now titanium and its alloys used in different industrial sectors. Unique material characteristics make it as desirable raw material for the automotive, aerospace, petroleum, chemical, marine and biomedical industries. It requires deformation and fabrication process as difficult-to-cut material. There are several challenges hidden under the processes. Therefore, advanced machining process performance investigation in titanium and its titanium alloys machining has taken part of the research concern. A number of research works has been done in every year to show the research direction. However, most of them are specifically in one machining process. It’s important to have a clear picture of a research area for further research consideration. Therefore, this review aim to study recent articles of non-traditional machining process of titanium and its alloys. The focus of this review was on the contribution for solving existing problems by using non-traditional machining processes, most efficient process and general overview. At the end it also provided a summary of sustainable issue of non-traditional machining processes.

scholarly journals Effects of Parameters of Machining on Cutting Force and Roughness when Machining AZ31 Magnesium Alloy

2019 ◽  
Vol 9 (2) ◽  
pp. 4756-4758
Keyword(s):  
Cutting Force ◽  
Feed Rate ◽  
High Speed ◽  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Machining Process ◽  
Mg Alloy ◽  
Machining Parameters ◽  
Machining Processes

This project was done to learn the effects of cutting parameters on cutting force and roughness (surface roughnes) of AZ31 magnesium (Mg) alloy. Machining parameters involved in this project are cutting speed, feed rate, and lubrication methods. Deckel Maho DMU 50 eVolution high speed milling machine was using and uncoated carbide button insert was used as the cutting tool. Cutting force was measured during the milling process and roughness was measured after that and cleaning process to ensure no interference that would conflicted the results. The best machining parameters identified when feed rate at 0.05 mm per tooth, cutting speed are at 600 m per min, and minimum quantity lubrication was applied during the machining process. From analysis of variance (ANOVA) table generated by Minitab software, this project can conclude that feed rate, cutting speed, and lubrication methods are significant to cutting force and roughness when machining AZ31 Mg Alloy Therefore, the relationship of surface roughness and cutting force should be taken as a major key point in machining processes. In the automotive field, magnesium was used to fabricate an engine that place at front body due to reduce the weight of vehicle. This design can increase performance and balancing of weight [1].

Predicting the delamination factor in carbon fibre reinforced plastic composites during drilling through the Gaussian process regression

2020 ◽  
pp. 002199832098424
Author(s):  
Yun Zhang ◽  
Xiaojie Xu
Keyword(s):  
Carbon Fibre ◽  
Gaussian Process ◽  
Gaussian Process Regression ◽  
Machining Process ◽  
Machining Parameters ◽  
Machining Processes ◽  
Plastic Composites ◽  
Reinforced Plastic ◽  
Structural Applications ◽  
Carbon Fibre Reinforced Plastic

The carbon fibre reinforced plastic (CFPR) has been widely used in aircraft structural applications due to the superior modulus, specific tensile strength, and fatigue strength. The inhomogeneous and anisotropic nature of these composites poses great challenges on the machining process. Particularly, the delamination is one of major defects associated with drilling, which has a significant impact on CFRP’s structure integrity and application. Machine learning approaches can help facilitate the optimization of machining processes. In this study, we develop the Gaussian process regression (GPR) model to predict delaminations in carbon fibre reinforced plastic composites during drilling from machining parameters. The model is simple and highly accurate and stable that contributes to fast delamination estimations. By combining the optimization results from the Taguchi method and GPR approach, it is expected that more quantitative data can be extracted from fewer experimental trials at the same time.

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