scholarly journals The influence of cooling techniques on cutting forces and surface roughness during cryogenic machining of titanium alloys

2016 ◽  
Vol 36 (1) ◽  
pp. 12-17 ◽  
Author(s):  
Iwona Wstawska ◽  
Krzysztof Ślimak

Abstract Titanium alloys are one of the materials extensively used in the aerospace industry due to its excellent properties of high specific strength and corrosion resistance. On the other hand, they also present problems wherein titanium alloys are extremely difficult materials to machine. In addition, the cost associated with titanium machining is also high due to lower cutting velocities and shorter tool life. The main objective of this work is a comparison of different cooling techniques during cryogenic machining of titanium alloys. The analysis revealed that applied cooling technique has a significant influence on cutting force and surface roughness (Ra parameter) values. Furthermore, in all cases observed a positive influence of cryogenic machining on selected aspects after turning and milling of titanium alloys. This work can be also the starting point to the further research, related to the analysis of cutting forces and surface roughness during cryogenic machining of titanium alloys.

2020 ◽  
Vol 836 ◽  
pp. 63-70
Author(s):  
Vyacheslav V. Maksarov ◽  
Alexander E. Efimov ◽  
Taras S. Golikov

This paper proposed a new method for processing titanium alloys based on preliminary plastic impact. The reasons for the deterioration of the surface roughness of titanium alloys during machining are considered. This problem lies in the formation of outgrowths on tool cutting wedge, which leads to the cutting process taking place as in the titanium-titanium pair. The adsorption phenomenon leads to the fact that the outgrowth is saturated with gases from the environment, and a thick oxide film is formed. As a result, high temperatures arise during machining from 1100 to 1200°C, increasing the cutting forces P and friction Q, which introduce the technological system into an unstable self-oscillating process. The problem posed eliminated by the method of preliminary plastic deformation, which forms a local inhomogeneous structure. At the stage of processing the titanium billet, the cutting edge enters the region with a heterogeneous structure, destroying the chips and growth with an oxide film. Since most of the temperature, about 80% takes away with the chips, the amplitude of the self-oscillating process decreases, which reduces the surface roughness of the processed titanium alloys.


2013 ◽  
Vol 551 ◽  
pp. 217-222 ◽  
Author(s):  
Masahiko Ikeda ◽  
Masato Ueda ◽  
Kaoru Imaizumi ◽  
Mitsuo Niinomi

This paper is a review of results for Ti-Mn [1], Ti-Mn-Al [2] and Ti-Mn-Fe [3] alloys that have been previously published. Titanium alloys, especially beta-type titanium alloys, have high specific strength, excellent corrosion resistance and good biocompatibility. Unfortunately, applications of titanium alloys are limited by their relatively higher cost. One reason is the use of rare and expensive metallic elements, such as vanadium and molybdenum, as a beta stabilizer. In order to reduce the cost, inexpensive and abundantly available metallic elements should be used as beta stabilizers. Manganese was adopted as a beta stabilizer because it is an abundant metallic element in the Earth’s crust and is relatively low in cost. The heat treatment behavior of Ti-Mn, Ti-Mn-Al and Ti-Mn-Fe alloys was investigated through electrical resistivity and Vickers hardness measurements, X-ray diffraction measurements to identify phase constitution, and observations using a light microscope [1], [2] and [3].


2017 ◽  
Vol 1142 ◽  
pp. 250-253
Author(s):  
Ze WU ◽  
You Qiang Xing ◽  
Peng Huang

Textured self-lubricating tools were fabricated by fiber laser machining. Dry milling of titanium alloys was carried out with these textured tools and conventional one for comparison. The cutting forces, cutting temperature, surface roughness of processed workpiece and tool flank wear were measured. Results show that the textured tools can reduce the cutting forces, cutting temperature and surface roughness of workpiece, as a result, present superior wear-resistance compared to the untextured tool.


2014 ◽  
Vol 974 ◽  
pp. 121-125 ◽  
Author(s):  
R.A. Rahman Rashid ◽  
S. Sun ◽  
Suresh Palanisamy ◽  
M.S. Dargusch

In recent times, the market for the applications of titanium alloys, particularly β alloys, is growing rapidly, calling for higher productivity. However, it is difficult to machine titanium alloys. A number of research activities have been carried out in this area to improve the productivity of titanium machining. Laser assisted machining is one technique which has been proposed to enhance the machinability of various difficult-to-cut materials including titanium alloys. In this study, two β titanium alloys, viz. Ti-10V-2Fe-3Al and Ti-6Cr-5Mo-5V-4Al, were machined using laser assistance and the results were compared with unassisted machining conditions. Their response to laser assisted machining in terms of differences in the cutting forces, cutting temperature and chip formation are reported. It was found that the Ti-6Cr-5Mo-5V-4Al workpiece was much more difficult to machine even with laser assistance.


Author(s):  
G. Uskov ◽  
A. Tsopanova ◽  
T. Perezhogina

Complete feeding of ponies is provided on the basis of data on their nutritional needs depending on age, sex, physiological state and level of productivity (the amount of milk produced and the intensity of growth of young animals). Ponies are sensitive to a lack of vitamins and mineral elements in the feed. When there is a sufficient amount of organic and mineral substances, but a lack or absence of vitamins, horses and ponies have impaired metabolism. The purpose of this work is to study the effectiveness of the use of vitamin and mineral additive MEGA-VIT in the rations of pregnant and lactating mares of Shetland pony breed. It has been found during of the researches that the vitamin and mineral additive MEGA-VIT had a positive influence on the productive and physiological indicators of animals. The cost of spent feed for the entire period of experiment in the control group was 50,6 thousand rubles, and in the experimental group it was 11,8 thousand rubles more or 23,5 %. Revenue from the sale of young horses of the control group amounted to 400 thousand rubles, and experimental group – 440 thousand rubles, this is by 40 thousand rubles more than in control group. This led to the increase in profit in the experimental group of mares by 28,1 thousand rubles and accordingly the level of profitability by 3,2 %. It has been recommended on the results have been obtained on the base of researches to include 30 g/head/day in the rations of mares of Shetland pony breed during pregnancy, and 50 g/head/day during lactation.


2020 ◽  
pp. 109438
Author(s):  
Scott Sneddon ◽  
Yang Xu ◽  
Mark Dixon ◽  
David Rugg ◽  
Peifeng Li ◽  
...  

Author(s):  
Filippo Simoni ◽  
Andrea Huxol ◽  
Franz-Josef Villmer

AbstractIn the last years, Additive Manufacturing, thanks to its capability of continuous improvements in performance and cost-efficiency, was able to partly replace and redefine well-established manufacturing processes. This research is based on the idea to achieve great cost and operational benefits especially in the field of tool making for injection molding by combining traditional and additive manufacturing in one process chain. Special attention is given to the surface quality in terms of surface roughness and its optimization directly in the Selective Laser Melting process. This article presents the possibility for a remelting process of the SLM parts as a way to optimize the surfaces of the produced parts. The influence of laser remelting on the surface roughness of the parts is analyzed while varying machine parameters like laser power and scan settings. Laser remelting with optimized parameter settings considerably improves the surface quality of SLM parts and is a great starting point for further post-processing techniques, which require a low initial value of surface roughness.


2020 ◽  
Vol 111 (9-10) ◽  
pp. 2419-2439
Author(s):  
Tamal Ghosh ◽  
Yi Wang ◽  
Kristian Martinsen ◽  
Kesheng Wang

Abstract Optimization of the end milling process is a combinatorial task due to the involvement of a large number of process variables and performance characteristics. Process-specific numerical models or mathematical functions are required for the evaluation of parametric combinations in order to improve the quality of the machined parts and machining time. This problem could be categorized as the offline data-driven optimization problem. For such problems, the surrogate or predictive models are useful, which could be employed to approximate the objective functions for the optimization algorithms. This paper presents a data-driven surrogate-assisted optimizer to model the end mill cutting of aluminum alloy on a desktop milling machine. To facilitate that, material removal rate (MRR), surface roughness (Ra), and cutting forces are considered as the functions of tool diameter, spindle speed, feed rate, and depth of cut. The principal methodology is developed using a Bayesian regularized neural network (surrogate) and a beetle antennae search algorithm (optimizer) to perform the process optimization. The relationships among the process responses are studied using Kohonen’s self-organizing map. The proposed methodology is successfully compared with three different optimization techniques and shown to outperform them with improvements of 40.98% for MRR and 10.56% for Ra. The proposed surrogate-assisted optimization method is prompt and efficient in handling the offline machining data. Finally, the validation has been done using the experimental end milling cutting carried out on aluminum alloy to measure the surface roughness, material removal rate, and cutting forces using dynamometer for the optimal cutting parameters on desktop milling center. From the estimated surface roughness value of 0.4651 μm, the optimal cutting parameters have given a maximum material removal rate of 44.027 mm3/s with less amplitude of cutting force on the workpiece. The obtained test results show that more optimal surface quality and material removal can be achieved with the optimal set of parameters.


2019 ◽  
Vol 49 (1) ◽  
pp. 327-359 ◽  
Author(s):  
Alan Taub ◽  
Emmanuel De Moor ◽  
Alan Luo ◽  
David K. Matlock ◽  
John G. Speer ◽  
...  

Reducing the weight of automobiles is a major contributor to increased fuel economy. The baseline materials for vehicle construction, low-carbon steel and cast iron, are being replaced by materials with higher specific strength and stiffness: advanced high-strength steels, aluminum, magnesium, and polymer composites. The key challenge is to reduce the cost of manufacturing structures with these new materials. Maximizing the weight reduction requires optimized designs utilizing multimaterials in various forms. This use of mixed materials presents additional challenges in joining and preventing galvanic corrosion.


2013 ◽  
Vol 748 ◽  
pp. 188-191
Author(s):  
Hui Jun Yu

Titanium and titanium alloys possess some attractive properties, such as excellent corrosion and erosion resistance, low densities, high specific strength and modulus, enabling them extensively used in aeronautical, marine, chemical and biomedical applications and so on. Nevertheless, Recent years, the corrosion resistance of titanium and titanium alloys is required to elevate in some fields, proper surface modification such as surface oxidation can solve the problems effectively. In this paper, the recent investigations of thermal oxidation and micro-arc oxidation to improve the corrosion resistant of titanium and its alloys are reviewed. The structures, properties and their influence factors of the coatings are analysed systematically. And the existing problems and the future prospect of the further researches is mentioned.


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