Cutting Parameter

Top PDF Cutting Parameter:

OPTIMIZATION OF CUTTING PARAMETER OF EN24 STEEL BY USING TAGUCHI METHOD IN HARD TURNING

OPTIMIZATION OF CUTTING PARAMETER OF EN24 STEEL BY USING TAGUCHI METHOD IN HARD TURNING

In hardturning cutting parameters are selected on the basis of hardness of materials, surface roughness of thework piece, etc. As material hardness is high, it results in the decrease of machining cost, savestime, improves surface quality & also eliminates deformities in parts caused by temperature.Also surface finish is influenced by many factor such as feed rate,speed, cutting time,cutting fluid, work piece hardness and depth of cut, but selection of only three parameter like speed,feed,and depth of cut is made. Fabrication of complex parts by conventional turning is much costlier and the use of hard turning for the same thing reduces cost by 30%. Surface finish also determines the machinability of materials.Whereas Surface roughness is an important aspect of product quality which governs performance of mechanical parts & production cost. Whenoptimization of cutting parameter takes place, it results in the increaseof the utility for machining economics & product quality.

7 Read more

Effect Of Cutting Parameter On Thin Wall Machining Accuracy

Effect Of Cutting Parameter On Thin Wall Machining Accuracy

Machining of thin-walled parts is a key processing technology in aerospace and engineering industry. The part deflection caused by the cutting force is difficult to predict and control .Many components used in aerospace industry and engineering industry sector are usually thin-walled structures. Due to their lack of stiffness and low rigidity, thin-walled parts tend to deform easily in a chip removing process. Cutting forces have the major role for forming the deformations, which induces mainly dimensional inaccuracy, low machining efficiency and higher manufacturing costs. Cutting parameters have considerable effect on cutting forces which occur due to fractional effects. Therefore, the deformation analysis of a thin-walled machining process is coupled with cutting forces and cutting parameters. Cutting parameter are literally known as spindle speed, depth of cut and feed rate in a milling process. This parameter has direct effect on machining efficiency, dimensional accuracy and machining time. In order to have an accurate model for predicting machining precision, these parameters have to properly to select.

24 Read more

Effect of Cutting Parameter on Surface Roughness Carbon Steel S45C

Effect of Cutting Parameter on Surface Roughness Carbon Steel S45C

The correlation of surface roughness based on the interaction between spindle speed variation with variation of depth of cut can be seen in Table 5 and Figure 7, which showed the smallest level of surface roughness (Ra) is present in the 600 rpm spindle spindle interaction, and 1.5mm cutting depth of 2.81 μm. And the highest (rough) surface roughness rate (Ra) is found at spindle spindle interaction speed 400 rpm, and cutting depth of 1 mm is 5.32 μm.

6 Read more

Optimization of balance weight of unbalanced turning operation with optimized cutting parameter

Optimization of balance weight of unbalanced turning operation with optimized cutting parameter

The tool feed is the relative motion of the cutting tool with respect to the work-piece. It is measured in millimeters per revolution (mm/rev.) Cracks, pits and chatter marks on the machined surfaces are increases with increase in feed rate, due to reinforcement pull-out and fracture. It deteriorates the surface quality and produces higher thermal stresses on the machined surfaces. The feed value increases then the surface finish of the work-piece reduces. Three levels of feed rate are 0.1 mm/rev, 0.15 mm/rev, and 0.5mm/rev.

5 Read more

Application Of Taguchi Method In The Optimization Of Cutting Parameter For Surface Roughness In Turning

Application Of Taguchi Method In The Optimization Of Cutting Parameter For Surface Roughness In Turning

The Taguchi method is statistical tool, adopted experimentally to investigate influence of surface roughness by cutting parameters such as cutting speed, feed rate and depth of cut. The Taguchi process helps to select or determine the optimum cutting conditions for turning process. Many researchers developed many mathematical models to optimize the cutting parameters to get lowest surface roughness by turning process. The variation in the material hardness, alloying elements present in the work piece material and other factors affecting surface finish and tool wear. The Taguchi design of experiments was used to optimize the cutting parameters and it is a powerful tool for the design of high quality systems. It provides simple, efficient and systematic approach to optimize designs for performance, quality and cost. Taguchi method is efficient method for designing process that operates consistently and optimally over a variety of conditions. To determine the best design it requires the use of a strategically designed experiment. Taguchi approach to design of experiments in easy to adopt and apply for users with limited knowledge of statistic, hence gained wide popularity in the engineering and scientific community. The desired cutting parameters are determined based on experience or by hand book. Cutting parameters are reflected on surface roughness, surface texture and dimensional deviation turned product. In a manufacturing process it is very important to achieve a consistence tolerance and surface finish. Taguchi method is especially suitable for industrial use, but can also be used for scientific research (Hasan, 2007).

24 Read more

Influence of Cutting Fluid Condition and Cutting Parameter on Material Removal Rate in Straight Turning Process of EN31 Steel

Influence of Cutting Fluid Condition and Cutting Parameter on Material Removal Rate in Straight Turning Process of EN31 Steel

High cutting zone temperature is generally tried to be controlled by employing flood cooling by soluble oil. In high speed–feed machining, conventional cutting fluid application fails to penetrate the chip-tool interface and thus cannot remove heat effectively and the use of cutting fluid has become more problematic in terms of both employee health and environmental pollution. Addition of extreme pressure additives in the cutting fluids does not ensure penetration of coolant at the chip–tool interface to provide lubrication and cooling. Minimum quantity lubrication (MQL) is based on the principle that a drop of liquid is split by an air flow, distributed in streaks and transported in the direction of flow of air. MQL consists of a mixture of pressurized air and oil micro- droplets applied directly into the interface between the tool and chips. MQL decreased the contact length compared to dry cutting for both short and long engagement time. However, high-pressure jet of lubricant, when applied at the chip–tool interface, could reduce cutting temperature and improve tool life to some extent. The schematic diagram of MQL working principal is shown below:

6 Read more

Study on cutting parameter on KERF width using WEDM of inconel 718

Study on cutting parameter on KERF width using WEDM of inconel 718

Due to the WEDM require a decent voltage and other parameters that will be later used in the experiment, the range of parameter that will be used as shown in Table 2.3 should be within the range of the machine and the stock size of the material for the experiment like the stock size in Table 2.2 also need to be considered. The feed rate is chosen are based on the ability of the machine to cut one of the hard material for example tungsten carbide. The parameter chosen are also based on the manual book for the machine where it list all the configuration of the parameter that need to be set up before starting the cutting process.

24 Read more

Effect Of Cutting Parameter On Roughness During Surface Grinding Of Inconel 718

Effect Of Cutting Parameter On Roughness During Surface Grinding Of Inconel 718

Aslan and Budak (2014) stated that grinding can be a cost effective alternative even for roughing operations of some hard-to-machine materials. It is important to know the relation between input parameter and its response or output characteristic. Input parameter that usually researcher vary it are speed, feed rate, depth of cut, type of wheel, grit, usage of coolant and force. In this study, three parameters are vary which are traverse speed, depth of cut and number of passes.

24 Read more

Effects Of Cutting Parameter On Machining Performance For Wood-Plastic Composite Material

Effects Of Cutting Parameter On Machining Performance For Wood-Plastic Composite Material

Milling composite materials is a rather complex task owing to its heterogeneity and the number of problems, such as surface delamination, that appear during the machining process, associated with the characteristics of the material and the cutting parameters. Understanding and reducing these problems, the machining process need to be study to evaluates the cutting parameters (cutting speed, feed rate and depth of cut) under the surface roughness, and damage in milling laminate plates of carbon fiber-reinforced plastics (CFRPs). [10]

24 Read more

Optimization of Laser Cutting Parameter on AISI 321

Optimization of Laser Cutting Parameter on AISI 321

ABSTRACT:Laser cutting used in many industrial cutting applications.AISI 321 ( Stainless Steel ) is material having excellent corrosion resistance and better hardness. Quality of a surfaceis also utmost importance in laser cutting.The aim of the paper is to study and find the best cutting parameters for AISI 321 of 10mm thickness of minimum surface roughness corresponding with minimum striation, maximum hardness. Input parameter are cutting speed, gas pressure, pulse frequency and nozzle gap in laser cutting. The work is based on industrial implementation knowledge to arrive at optimal cutting conditions using RSM (Response Surface Methodology) to meet specified process performance. KEYWORDS: Laser Cutting, AISI 321 ( Stainless Steel ) , Surface Roughness, Hardness, RSM.

7 Read more

Optimization of Control Factors for Machining Time in CNC Milling of AL 7075 based MMCs using Taguchi Robust Design Methodology

Optimization of Control Factors for Machining Time in CNC Milling of AL 7075 based MMCs using Taguchi Robust Design Methodology

The main objective of the research work is to find out the optimum values for the selected control factors in order to reduce machining time (MT) using Taguchi’s robust design methodology and to develop the prediction models for machining time considering the control factors. In the present work Taguchi method is used to determine the optimum cutting milling parameters are more efficiently and the three cutting parameter are spindle speed, feed rate and depth of cut are used in three different level in the project work. The Al-7075 based metal matrix composite is used as the work piece. Taguchi method is used to optimize the process parameter i.e. surface roughness and MRR using signal to noise ratio for milling process of the work piece materials. The Taguchi experiments are carried out using L9 (3 3 ) orthogonal array.

5 Read more

Performance Analysis of Coated and Uncoated Carbide Tool While Turning Operation (Aisi4140 Alloy Steel)

Performance Analysis of Coated and Uncoated Carbide Tool While Turning Operation (Aisi4140 Alloy Steel)

Abstract: Hard coating are well known to improve the performance of cutting tool in machining application, such as high speed machining. Unfortunately the development of cutting tool for high speed machining of hard and difficult to cut material has remains a problem for quality and economy of production. The present work studied the performance of coated and uncoated carbide tool in machining of AISI 4140 steel. The influence of cutting parameter (cutting speed, feed rate and depth of cut) on surface roughness and harden ability has been analyzed under the different cutting condition (coated and uncoated carbide tool). For design of experiment we had done three levels of cutting speed, feed rate and depth of cut.

5 Read more

Optimization of Control Factors for Machining Time in CNC Milling of AL 7075 based MMCs using Taguchi Robust Design Methodology

Optimization of Control Factors for Machining Time in CNC Milling of AL 7075 based MMCs using Taguchi Robust Design Methodology

The main objective of the research work is to find out the optimum values for the selected control factors in order to reduce machining time (MT) using Taguchi’s robust design methodology and to develop the prediction models for machining time considering the control factors. In the present work Taguchi method is used to determine the optimum cutting milling parameters are more efficiently and the three cutting parameter are spindle speed, feed rate and depth of cut are used in three different level in the project work. The Al-7075 based metal matrix composite is used as the work piece. Taguchi method is used to optimize the process parameter i.e. surface roughness and MRR using signal to noise ratio for milling process of the work piece materials. The Taguchi experiments are carried out using L9 (3 3 ) orthogonal array.

5 Read more

Evaluation and Optimization of Machining Parameter for turning of EN 8 steel

Evaluation and Optimization of Machining Parameter for turning of EN 8 steel

To select an appropriate orthogonal array for experiments, the total degrees of freedom need to be computed. The degrees of freedom are defined as the number of comparisons between process parameters that need to be made to determine which level is better and specifically how much better it is. Once the degrees of freedom required are known, the next step is to select an appropriate orthogonal array to fit the specific task. Basically, the degrees of freedom for the orthogonal array should be greater than or at least equal to those for the process parameters. In this study, an L9 orthogonal array was used. This array has twenty six degrees of freedom and it can handle three-level process parameters. Each cutting parameter is assigned to a column and twenty seven cutting parameter combinations are available. Therefore, only twenty seven experiments are required to study the entire parameter space using the L9 orthogonal array. Each parameter was analysed at three levels in order to explore non- linear relationship of process parameter. Designed experiments were based on the orthogonal array (OA) technique, which is a fractional factorial with pair-wise balancing property. The variation of response is examined using an appropriately chosen S/N ratio, depending on the objective function. In present study quality characteristic is a force on tool due to variation of process parameters in

5 Read more

Optimization of Process Planning of Ginning Machine

Optimization of Process Planning of Ginning Machine

An optimal control (OC)problem is a mathematical programming problem involving a number of stages, where each stage evolves from the preceding stage in a prescribed manner. It is defined by two types of variables: the control or design variables and state variables. The problems which are not optimal control problems are called non-optimal control problems. Optimization problems can be classified based on the type of constraints, nature of design variables, physical structure of the problem, nature of the equations involved, deterministic nature of the variables, permissible value of the design variables, separability of the functions and number of objective functions. Every different production process requires different techniques, One category of techniques deals with the determination of the best open-loop control trajectory, which ensures minimum degradation of the end point performance[2]. Choosing best method is a crucial task. At initial stage purpose of this paper is to investigate various parameter like process flow , machine tool , cutting tool material, tool geometry , cutting parameter and time required .While manufacturing input parameters like feed ,speed , depth of cut affects surface roughness , material removal rate etc. Considering these factors from the three main Optimization techniques

8 Read more

Parametric investigation in co2 laser cutting Quality of hardox-400 materials

Parametric investigation in co2 laser cutting Quality of hardox-400 materials

2.2 Taguchi methodology based experiments : These experiments were performed with a 3.5 kW CO2 (omada),To prevent the instability and damage caused by back reflections, the cavity is isolated by using a beam bender mirror with a multilayer coating that absorbs the back reflected laser beam. The laser beam was focused using a 127mm focal length lens except for the tests conducted to detect the influence of this parameter. For this purpose, lenses with 127 and 190.5mm were used. Tests were conducted in continuous wave (CW) and in pulsed mode. In CW mode, when the laser source delivers a constant power, the experiments were performed varying one factor at a time. The ranges of cutting parameter are summarized in Table 2. A commercial cutting head incorporating a conical converging coaxial nozzle with a 1.5 mm exit diameter was employed to supply the assist gas in a coaxial manner with the laser beam. In the tests conducted to reveal the influence of the nozzle exit on the quality of the cuts, nozzles with an exit diameter of 0 1.5 mm were also used. The distance from the lower part of the nozzle to the plate (also known as stand-off distance) was fixed at 1.5mm except for the tests conducted to reveal the influence of this parameter. Compressed air, nitrogen and oxygen at various pressures were used as assist gases. Based on experience for similar materials, oxygen and nitrogen are the most recommended gases for the experimentation. Most of the tests were performed using argon as assist gas except from the test performed to investigate the influence of the gas nature. In order to compare the results, the experiments were performed on unidirectional straight line cutting. On the other hand, the experiments conducted in pulsed mode were performed by means of one-factor-at-a-time experiments in a first stage. The ranges of cutting parameters are summarized in Table 3 Furthermore, a full factorial design (FFD) approach was also performed to efficiently screen out the key variables significantly affecting on the response variables .

6 Read more

An Experimental Study on Burr Formation in Turning

An Experimental Study on Burr Formation in Turning

In view of the need for more research efforts in the study of burr formation in turning operation, the present experimental study is devoted to find the effect of feed, cutting velocity and depth of cut on the formation of burr in turning of aluminium workpiece. Additionally, the effect of the above process parameters on the surface roughness of the aluminium workpiece isalso observed for each cutting condition .

8 Read more

Determination of Surface roughness at different parameters cutting speed, depth of cut or feed rate

Determination of Surface roughness at different parameters cutting speed, depth of cut or feed rate

In the present research work gives the effect of different machining parameters (cutting speed, feed rate and depth of cut) on surface roughness in end milling is determined. Taguchi technique of optimization is used to select different parameter. The experimental work is carried out on hardened Die-Steel H-13. The processing of the job was done by solid carbide four flute end-mill tool under finishing conditions to calculate different variables and their levels. L-9 standard orthogonal array is used for calculation of number of variables and number of levels. Signal to Noise Ratio is used to calculate the significant parameter where as ANOVA F-Test is carried out to determine the percentage effect of each parameter.

6 Read more

Robust parameter design for the optimisation of cutting conditions according to energy efficiency criteria

Robust parameter design for the optimisation of cutting conditions according to energy efficiency criteria

economies and nowadays, in the developing ones as well with the continued awareness heightening policies of the Czech Republic and its industrial organizations. We used a particular design that can be employed to identify control factors that reduce variability in the wood-milling process by minimizing the effects of uncontrollable factors (in this case, the noise factor is Ra). Process parameters, in this case, cutting speed, revolutions of the milling spindle, and feed rate is under control. Noise factors route Ra cannot be controlled during production or product use but can be measured during experimentation. The main result of this designed experiment is the identification of optimal control factor settings that make the wood-milling process resistant to varia- tion from the noise factors from the perspective of energy consumption. Higher values of the S/N ratio indicate control factor settings that minimize the effects of the noise factors.

6 Read more

Tool Wear Characterization Of Carbide Cutting Tool Inserts In A Single Point Turning Operation Of Aisi D2 Steel

Tool Wear Characterization Of Carbide Cutting Tool Inserts In A Single Point Turning Operation Of Aisi D2 Steel

Wear phenomena has become a nightmare in machining industry because it is absolutely affecting the quality of the product and also the tool life. There are two main types of wear in a cutting tool, flank wear and crater wear. Cutting tool plays an important role in producing good quality of products. Careful selection of cutting tool for machining process for its specific applications is imperetive; to minimize the tool failure during machining process. So, the purpose of this study is to characterize the tool wear of carbide cutting tool insert in single point turning operation of AISI D2 steel.

24 Read more

Show all 10000 documents...

Related subjects