Effects of Cutting Fluid Application in the Performance of the Nimomic 80A Turning

2015 ◽  
Vol 656-657 ◽  
pp. 243-250 ◽  
Author(s):  
Renann Pereira Gama ◽  
Marcos Valério Ribeiro
Keyword(s):  
High Performance ◽  
Technological Development ◽  
Cutting Speed ◽  
Global Market ◽  
Cutting Fluid ◽  
Machining Parameters ◽  
Machining Processes ◽  
Machine Material ◽  
High Productivity ◽  
Chip Removal

The increase of world requirements for improved products joined to growing competition between companies in the global market makes the same seek processes that ensure lower costs allied to high productivity and high quality product. Therefore, the great industrial and technological development has been increased the search for machining processes that promote, for example, high performance as regards the chip removal, less tool wear, failure and reduced impact on the environment. Regarding nickel-based superalloys, they have an extremely important role in the aeronautical and automotive industries among others. The nickel-based superalloy studied is the Nimonic 80A, hard machine material that has high mechanical strength and corrosion resistance on higher temperatures. The objective of this report is to study the influence of the application of cutting fluids in turning and the machining parameters in order to achieve high performance and optimization of machining this alloy. This one was machined using various machining parameters: cutting speed, feed rate, cutting depth, Minimum Quantity fluid (MQF), and Fluid abundant. After turning chip samples were obtained, was measured the surface roughness, volume of chip removed, cutting length and macro structural, some analyzes were performed and of lifetime of the tools were used in order to detect possible wear, as well as, microstructural observation of the chips by optical microscopy, scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS).On this report, we can observe the behavior of the materials and tools in the two cooling conditions used, and also, the impacts of the parameter variations in the surface finish, on the structure of the material and performance of the tools in respect chip removal regarding volume removed and machined length. Application by MQF was promising, but there is an abundant beyond the traditional application.

Predictive Modeling and Optimization of High Performance Machining

2007 ◽  
Vol 10-12 ◽  
pp. 842-849
Author(s):  
Steven Y. Liang ◽  
Binti M. Abraham
Keyword(s):  
Tool Life ◽  
Process Parameters ◽  
High Performance ◽  
Manufacturing Systems ◽  
Cutting Speed ◽  
Cutting Fluid ◽  
Analytical Models ◽  
Machining Performance ◽  
Machining Processes ◽  
Workpiece Material

High performance machining refers to the material removal operation that delivers the maximum achievable part quality, process competitiveness, and ecological compatibility through strategic utilization of cutters, machine tools, operation configuration, and process parameters. It is rapidly emerging as a prerequisite to productivity and profitability of machining operations and associated manufacturing systems. To accomplish high performance machining, a thorough understanding of the underlying mechanics that affect the performance attributes such as tool life, part integrity, air quality, etc., and how it is attributed to tooling conditions, operation configuration, and process parameters, is required. This paper reviews and summarizes a series of analytical methodologies by coupling with studies performed at the Georgia Institute of Technology for the quantitative modeling of fundamental mechanics of machining in the context of thermal, mechanical, tribological, and metallurgical effects and their interactions. In this study, cutting stresses, residual stress and tool life are explicitly described as functions of tool geometries, cutting speed, chip load, cutting fluid properties, interface tribological conditions, and the cutter/workpiece material constants. These analytical models facilitate the prediction of machining performance thereby allowing the optimal planning of machining processes in pursuing maximum performance. An array of experimental cutting data is also presented in comparison to model-based predictions for the validation of all aspects of the machining mechanics analysis.

Machining of titanium alloys for medical application - a review

2021 ◽  
pp. 095440542110285
Author(s):  
António Festas ◽  
António Ramos ◽  
João Paulo Davim
Keyword(s):  
Titanium Alloys ◽  
Medical Devices ◽  
Technological Development ◽  
Chemical Reactivity ◽  
Cutting Speed ◽  
High Hardness ◽  
Industrial Applications ◽  
Helical Milling ◽  
Machining Processes ◽  
Machine Material

Titanium alloys for their characteristics have acquired a prominent position in numerous industrial applications. Due to its properties, such as high resistance to corrosion, reduced density, high specific strength, and low Young’s modulus, titanium alloys became indispensable as a biomaterial with high use in medical devices, with special emphasis in the area of orthopedics. Problems associated with its manufacturing by conventional machining processes, such as milling, turning, and drilling are well known and studied. Its low thermal conductivity, high chemical reactivity, high hardness at high temperatures make it classified as difficult to machine material. Despite the already extensive knowledge about machining titanium alloys problems, and the constant technological development to overcome them, it is not yet possible to machine this material like other metals. This work is based on research and review papers from Scopus and Scholar from 2010 to 2020 and addresses the main issues related to the machining of titanium alloys used in medical devices manufacturing and current solutions adopted to solve them. From the research consulted it was possible to conclude that it is consensual that for milling, turning, and helical milling cutting speed can reach up to 100 m/min and up to 40 m/min in drilling. As for feed rate, up to 0.1 mm/tooth for milling and helical milling and up to 0.3 mm/rev for turning and 0.1 mm/rev for drilling. Also, that Minimum Quantity Lubrication is a valid and efficient solution to mitigate titanium alloys machining problems.

Experimental Investigation on Turning of Monel K500 Alloy Using Nano Graphene Cutting Fluid Under Minimum Quantity Lubrication

2019 ◽  
Author(s):  
Arul Kulandaivel ◽  
Senthil Kumar Santhanam
Keyword(s):  
Cutting Speed ◽  
Minimum Quantity Lubrication ◽  
High Strength ◽  
High Heat ◽  
Water Soluble ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Machining Processes ◽  
Turning Operation ◽  
Minimum Quantity

Abstract Turning operation is one of the most commonly used machining processes. However, turning of high strength materials involves high heat generation which, in turn, results in undesirable characteristics such as increased tool wear, irregular chip formation, minor variations in physical properties etc. In order to overcome these, synthetic coolants are used and supplied in excess quantities (flood type). The handling and disposal of excess coolants are tedious and relatively expensive. In this proposed work, Water Soluble Cutting Oil suspended with nanoparticles (Graphene) is used in comparatively less quantities using Minimum quantity lubrication (MQL) method to improve the quality of machining. The testing was done on Turning operation of Monel K500 considering the various parameters such as the cutting speed, feed and depth of cut for obtaining a surface roughness of 0.462μm and cutting tool temperature of 55°C for MQL-GO (Graphene oxide) process.

Machining parameters effect in dry turning of AISI 316L stainless steel using coated carbide tools

2015 ◽  
Vol 231 (4) ◽  
pp. 676-683 ◽  
Author(s):  
Rusdi Nur ◽  
MY Noordin ◽  
S Izman ◽  
D Kurniawan
Keyword(s):  
Surface Roughness ◽  
Stainless Steel ◽  
Power Consumption ◽  
Cutting Force ◽  
Tool Life ◽  
Cutting Speed ◽  
Cutting Fluid ◽  
Machining Parameters ◽  
Aisi 316L ◽  
Coated Carbide

Austenitic stainless steel AISI 316L is used in many applications, including chemical industry, nuclear power plants, and medical devices, because of its high mechanical properties and corrosion resistance. Machinability study on the stainless steel is of interest. Toward sustainable manufacturing, this study also includes the power consumption during machining along with other machining responses of cutting force, surface roughness, and tool life. Turning on the stainless steel was performed using coated carbide tool without using cutting fluid. The turning was performed at various cutting speeds (90, 150, and 210 m/min) and feeds (0.10, 0.16, and 0.22 mm/rev). Response surface methodology was adopted in designing the experiments to quantify the effect of cutting speed and feed on the machining responses. It was found that cutting speed was proportional to power consumption and was inversely proportional to tool life, and showed no significant effect on the cutting force and the surface roughness. Feed was proportional to cutting force, power consumption, and surface roughness and was inversely proportional to tool life. Empirical equations developed from the results for all machining responses were shown to be useful in determining the optimum cutting parameters range.

Diamond Coated End Mills in Machining Silicon Carbide

2012 ◽  
Vol 576 ◽  
pp. 531-534 ◽  
Author(s):  
Mohamed Konneh ◽  
Mohammad Iqbal ◽  
Nik Mohd Azwan Faiz
Keyword(s):  
Surface Roughness ◽  
Silicon Carbide ◽  
High Performance ◽  
Removal Rate ◽  
Roughness Parameter ◽  
Surface Damage ◽  
Ceramic Materials ◽  
Real Problem ◽  
Machining Parameters ◽  
Machining Processes

Silicon Carbide (SiC) is a type of ceramic that belongs to the class of hard and brittle material. Machining of ceramic materials can result in surface alterations including rough surface, cracks, subsurface damage and residual stresses. Efficient milling of high performance ceramic involves the selection of appropriate operating parameters to maximize the material removal rate (MRR) while maintaining the low surface finish and limiting surface damage. SiC being a ceramic material, its machining poses a real problem due to its low fracture toughness, making it very sensitive to crack. The paper discusses milling of silicon carbide using diamond coated end mill under different machining conditions in order to determine the surface roughness parameter, Rt after the machining processes and to establish a relationship between the machining parameters and response variables. Based on the surface roughness carried out the lowest Rt obtained is 0.46 µm.

scholarly journals The Experimental Investigation of Surface Roughness After Dry Turning of Steel S235

2019 ◽  
Vol 26 (4) ◽  
pp. 179-184
Author(s):  
Justyna Molenda
Keyword(s):  
Surface Roughness ◽  
Surface Finish ◽  
Cutting Speed ◽  
Scientific Work ◽  
Machining Process ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Workpiece Material ◽  
Important Indicator

AbstractNowadays lot of scientific work inspired by industry companies was done with the aim to avoid the use of cutting fluids in machining operations. The reasons were ecological and human health problems caused by the cutting fluid. The most logical solution, which can be taken to eliminate all of the problems associated with the use of cooling lubricant, is dry machining. In most cases, however, a machining operation without lubricant finds acceptance only when it is possible to guarantee that the part quality and machining times achieved in wet machining are equalled or surpassed. Surface finish has become an important indicator of quality and precision in manufacturing processes and it is considered as one of the most important parameter in industry. Today the quality of surface finish is a significant requirement for many workpieces. Thus, the choice of optimized cutting parameters is very important for controlling the required surface quality. In the present study, the influence of different machining parameters on surface roughness has been analysed. Experiments were conducted for turning, as it is the most frequently used machining process in machine industry. All these parameters have been studied in terms of depth of cut (ap), feed rate (f) and cutting speed (vc). As workpiece, material steel S235 has been selected. This work presents results of research done during turning realised on conventional lathe CDS 6250 BX-1000 with severe parameters. These demonstrate the necessity of further, more detailed research on turning process results.

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.

Investigation of GFRP Gear Accuracy and Surface Roughness Using Taguchi and Grey Relational Analysis

2020 ◽  
Vol 19 (01) ◽  
pp. 147-165
Author(s):  
Atul Sharma ◽  
M. L. Aggarwal ◽  
Lakhwinder Singh
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Root Diameter ◽  
Cutting Fluid ◽  
Thickness Variation ◽  
Machining Parameters ◽  
Glass Fiber Reinforced ◽  
Grey Relational Grade ◽  
Optimum Response ◽  
Grey Relational

Glass fiber reinforced polymer (GFRP) composite gear is used in a number of applications where fine motion transmission and silent rotation is required. In order to increase its usage there is a need to increase the quality of gear. Shrinkage problem is associated with injection molded gear. In present case blank is prepared by injection molding and teeth are cut on gear shaper by which metrology can be controlled by optimizing the machining parameters. An analysis of variance was applied on 27 experiments to validate the process and found out that rotary feed is at rank 1 which is 0.15[Formula: see text]mm/stroke, cutting fluid ratio is at rank 2 which is 12%, cutting speed is at rank 3 which is 240 stroke/min, fluid flow rate is at rank 4 which is 30 ml/min. By using these parameters optimum performance obtained is 0.213[Formula: see text]mm root diameter deviation (RD), 0.165[Formula: see text]mm tooth thickness variation (TT) and 1[Formula: see text][Formula: see text]m roughness average (Ra) with grey relational grade of 0.8318. The optimum response provided the best value of RD, TT and Ra for the range included in experimental results which is 0.138 to 0.416[Formula: see text]mm, 0.012 to 0.187[Formula: see text]mm and 1.2 to 2.43[Formula: see text][Formula: see text]m respectively. Surface roughness improvement in this work is 49.8% higher as compared to result available in literature.

Experimental Investigation of Machining Parameters during Turning of AISI 316L Stainless Steel Using Nano Cutting Environment

2015 ◽  
Vol 787 ◽  
pp. 361-365 ◽  
Author(s):  
T. Rajmohan ◽  
S.D. Sathishkumar ◽  
K. Palanikumar
Keyword(s):  
Stainless Steel ◽  
Feed Rate ◽  
316L Stainless Steel ◽  
Cutting Speed ◽  
Interface Temperature ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Aisi 316L ◽  
Machining Processes ◽  
Aisi 316L Stainless Steel

In modern machining processes, there are continuous cost pressures and high quality expectations in the product. Hence, it is required to explore the techniques that can reduce the cost and also increase the quality of the product. In the present work, machining performance of AISI 316L SS is assessed by the performing turning operation under nano cutting environment. Experiments have been carried out by plain turning of 48mm diameter and 600mm long rod of AISI 316L stainless steel on all geared lathe at different cutting velocities and feeds under wet machining with and without Carbon nano Tubes (CNT) inclusions using carbide inserts. The effect of cutting speed, feed rate, depth of cut on tool chip interface temperature and surface roughness are analysed using Taguchi method. Furthermore, using analysis of variance method, significant contributions of process parameters have been determined. Experimental results reveal that feed rate and cutting speed are the dominant variables on responses.

Optimization of Machining Parameters during Drilling of 7075 Aluminium Alloy

2012 ◽  
Vol 248 ◽  
pp. 20-25
Author(s):  
Abolfazl Golshan ◽  
Danial Ghodsiyeh ◽  
Soheil Gohari ◽  
Amran Bin Ayob ◽  
B.T. Hang Tuah Baharudin
Keyword(s):  
Aluminum Alloy ◽  
Performance Optimization ◽  
High Performance ◽  
Cutting Speed ◽  
Drilling Process ◽  
Machining Parameters ◽  
Algorithm Optimization ◽  
Drilling Parameters ◽  
Drill Diameter ◽  
Selection Of

Proper selection of drilling parameters is one of the significant challenges in drilling process. In this study, a new method for selection of optimal machining parameters during drilling operation is investigated. The present study deals with multiple-performance optimization of machining characteristics during drilling of 7075 aluminum alloy. The most commonly-used material in aerospace industry is aluminum alloy with zinc as the primary alloying element. The drilling parameters used for this experiment include cutting speed, feed rate and drill diameter while the two output parameters are surface roughness and dimension error. These outputs are specified to be optimized as a measure of process performance. The statistical model is generated from linear polynomial equations which are developed from different output responses when the machining parameters are changed. The Non-dominated Sorting Genetic Algorithm optimization results show high performance in solving the present problem.

Sign in / Sign up

Export Citation Format

Share Document