scholarly journals INVESTIGASI VARIASI KECEPATAN POTONG OPTIMAL PADA PROSES PEMESINAN BAJA AISI 4140

POROS ◽  
2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Sobron Yamin Lubis
Keyword(s):  
Cutting Tools ◽  
Cutting Speed ◽  
Machining Process ◽  
Aisi 4140 Steel ◽  
Maximum Production ◽  
Aisi 4140 ◽  
Optimum Cutting ◽  
Production Quantity ◽  
The Cost

Determination of optimum cutting speed in the lathe process should be considered in order to produce minimal machining costs and maximum production. Research The determination of optimum cutting speed was done to investigate the effect of cutting speed when cutting AISI 4140 steel against cost and production obtained. This study was conducted experimentally using lathe and theoretical calculations to determine machining costs and the amount of production produced. The lathe process is carried out using carbide cutting tools for cutting of AISI 4140 steel metal. In this machining the data obtained is the cutting time of the machining process tail loading process then the data is incorporated into the equation together with the cutting force, the cost of the cutting tools, the workpiece, the cost labourers. Then from the calculation results obtained by graph machining cost and production amount. Based on the graph, it is observed minimal machining cost and maximum production amount to know the optimum cutting point. The results obtained .The increase in cutting rate gives effect to the increase of production quantity, while for calculation of machining cost has decreased. Machining time has a significant effect on the change of production quantity and machining cost. The optimal cutting speed (Vcopt) is 269 m / min.

scholarly journals VARIASI KECEPATAN PEMOTONGAN PROSES PEMBUBUTAN BAJA AISI 4140 TERHADAP KEAUSAN DAN UMUR MATA PAHAT KARBIDA

POROS ◽  
2021 ◽  
Vol 17 (1) ◽  
pp. 26
Author(s):  
Sobron Y. Lubis ◽  
Sofyan Djamil ◽  
Adianto Adianto ◽  
Amor Santosa ◽  
Edric VM.
Keyword(s):  
Cutting Tool ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Machining Process ◽  
Aisi 4140 Steel ◽  
Steel Material ◽  
Aisi 4140 ◽  
Edge Wear ◽  
Coated Carbide

In the machining process, increased production can be done by increasing the use of cuttingparameters. However, the use of high cutting parameters has an effect on the wear of the cutting toolused. The aim of this research is to analyze the wear and tear that occurs on cutting tools and tool lifewhen cutting AISI 4140 steel by using variations in cutting speed. The machining process uses a CNClathe by turning the surface of the AISI 4140 steel workpiece. The wear criteria are determined when thecutting tool has reached the edge wear limit (VB) of 0.3 mm. Observation and measurement of carbidecutting tools are carried out every 5 minutes the machining process is carried out. If the cutting tool hasnot shown the specified wear value, then the cutting tool then cuts, so that the wear value is obtained.From the research conducted it was found that at a cutting speed of 160 m / min the cutting tool iscapable of cutting for 39 minutes, 13 seconds. At a cutting speed of 180 m / min the cutting tool is capableof cutting for 38 minutes, 14 seconds. At a cutting speed of 200 m / min the cutting tool is capable ofcutting for 33 minutes, 8 seconds. At a cutting speed of 240 m / min the cutting tool is capable of cuttingfor 26 minutes, 3 seconds. Taylor's advanced tool life for the coated carbide cutting tool in turning AISI4140 steel material is: Vc. Tl.0.073 = 8203.

Comprehensive Identification of Durability for Selected Cutting Tool Applied on the Base of Taylor Dependence

2013 ◽  
Vol 716 ◽  
pp. 254-260 ◽  
Author(s):  
Anton Panda ◽  
Ján Duplák ◽  
Karol Vasilko
Keyword(s):  
Cutting Tool ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Machining Process ◽  
Technical Science ◽  
Technical Practice ◽  
Comprehensive Information ◽  
Basic Parameters ◽  
Tool Durability

Technical practice uses a lot of cutting tools made of different materials. According to selecting workpiece have to be defined technological conditions. For all selected technological conditions is important prescribe parameters for machining. The basic parameters for every cutting process are cutting speed, feed and cutting depth. These technological conditions are defined by means of calculation or by means of mechanical engineering tables. Specification of tool wear by means of calculation is very difficult. Very important cutting tool property is its durability. Durability of cutting tool defines lifetime of this cutting tool and it determines its suitability for select technological operation. Technical science defines a lot of different factors, that they may be cause of shorter cutting tool lifetime. For increase cutting tool durability is necessary maximally possible elimination of these factors. Determination of cutting tool durability is very important, because provides comprehensive information how to determine appropriate technological conditions for selected cutting tool. In engineering is for determination of cutting tools durability used T-vc dependence. The article describes process how to create the durability dependence for cutting tool made of cutting ceramic (Al2O3) by means of T-vc dependence in machining process of C45.

Life Prediction of Cutting Tool by the Workpiece Cutting Condition

2011 ◽  
Vol 223 ◽  
pp. 554-563 ◽  
Author(s):  
Noemia Gomes de Mattos de Mesquita ◽  
José Eduardo Ferreira de Oliveira ◽  
Arimatea Quaresma Ferraz
Keyword(s):  
Cutting Tool ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Operating Conditions ◽  
Production Costs ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Workpiece Material ◽  
The Cost

Stops to exchange cutting tool, to set up again the tool in a turning operation with CNC or to measure the workpiece dimensions have direct influence on production. The premature removal of the cutting tool results in high cost of machining, since the parcel relating to the cost of the cutting tool increases. On the other hand the late exchange of cutting tool also increases the cost of production because getting parts out of the preset tolerances may require rework for its use, when it does not cause bigger problems such as breaking of cutting tools or the loss of the part. Therefore, the right time to exchange the tool should be well defined when wanted to minimize production costs. When the flank wear is the limiting tool life, the time predetermination that a cutting tool must be used for the machining occurs within the limits of tolerance can be done without difficulty. This paper aims to show how the life of the cutting tool can be calculated taking into account the cutting parameters (cutting speed, feed and depth of cut), workpiece material, power of the machine, the dimensional tolerance of the part, the finishing surface, the geometry of the cutting tool and operating conditions of the machine tool, once known the parameters of Taylor algebraic structure. These parameters were raised for the ABNT 1038 steel machined with cutting tools of hard metal.

Model for Economic Optimization of the Tool Life and the Cutting Speed at Drilling of the Steel X5CrNiMo17-12-2

2015 ◽  
Vol 809-810 ◽  
pp. 63-68 ◽  
Author(s):  
Marius Iacob ◽  
Ovidiu Blăjină ◽  
Aurelian Vlase
Keyword(s):  
Tool Life ◽  
Cutting Tool ◽  
Programming Model ◽  
Cutting Speed ◽  
Machining Process ◽  
Economic Optimization ◽  
Manufacturing Activity ◽  
Nonlinear Programming Model ◽  
The Cost ◽  
Accuracy Of Prediction

In the specialized literature the cost of the machining process has been analyzed using a number of approaches and varying degrees of simplification to determine the optimum tool life and the tool speed. The accuracy of prediction is dependent on the degree of sophistication of the model. The purpose of this paper is the optimization of the cutting tool life and the cutting speed at the drilling of the stainless steels in terms of the minimum machining cost. A more comprehensive nonlinear programming model to minimize the total cost at the drilling of a stainless steel is developed in this paper. The optimum tool life and the associated tool speed are obtained by solving this model. The results can be taken into consideration in the educational studies and in the theoretical technical research. They can be implemented in the manufacturing activity.

scholarly journals Analysis and Optimization of Machining Hardened Steel AISI 4140 with Self-Propelled Rotary Tools

Materials ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6106
Author(s):  
Waleed Ahmed ◽  
Hussien Hegab ◽  
Atef Mohany ◽  
Hossam Kishawy
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Inclination Angle ◽  
Feed Rate ◽  
Cutting Speed ◽  
Weight Ratio ◽  
Hardened Steel ◽  
Machining Process ◽  
Aisi 4140 ◽  
Steel Aisi

It is necessary to improve the machinability of difficult-to-cut materials such as hardened steel, nickel-based alloys, and titanium alloys as these materials offer superior properties such as chemical stability, corrosion resistance, and high strength to weight ratio, making them indispensable for many applications. Machining with self-propelled rotary tools (SPRT) is considered one of the promising techniques used to provide proper tool life even under dry conditions. In this work, an attempt has been performed to analyze, model, and optimize the machining process of AISI 4140 hardened steel using self-propelled rotary tools. Experimental analysis has been offered to (a) compare the fixed and rotary tools performance and (b) study the effect of the inclination angle on the surface quality and tool wear. Moreover, the current study implemented some artificial intelligence-based approaches (i.e., genetic programming and NSGA-II) to model and optimize the machining process of AISI 4140 hardened steel with self-propelled rotary tools. The feed rate, cutting velocity, and inclination angle were the selected design variables, while the tool wear, surface roughness, and material removal rate (MRR) were the studied outputs. The optimal surface roughness was obtained at a cutting speed of 240 m/min, an inclination angle of 20°, and a feed rate of 0.1 mm/rev. In addition, the minimum flank tool wear was observed at a cutting speed of 70 m/min, an inclination angle of 10°, and a feed rate of 0.15 mm/rev. Moreover, different weights have been assigned for the three studied outputs to offer different optimized solutions based on the designer’s interest (equal-weighted, finishing, and productivity scenarios). It should be stated that the findings of the current work offer valuable recommendations to select the optimized cutting conditions when machining hardened steel AISI 4140 within the selected ranges.

Improved Model to Determine the Tool Life and the Cutting Speed for Minimum Cost at Drilling the Steel 10TiMoNiCr175

2013 ◽  
Vol 837 ◽  
pp. 234-238
Author(s):  
Aurelian Vlase ◽  
Ovidiu Blăjină ◽  
Vlad Darie
Keyword(s):  
Tool Life ◽  
Programming Model ◽  
Cutting Speed ◽  
Minimum Cost ◽  
Machining Process ◽  
Manufacturing Activity ◽  
Nonlinear Programming Model ◽  
Improved Model ◽  
The Cost ◽  
Accuracy Of Prediction

In the specialized literature the cost of the machining process has been analyzed using a number of approaches and varying degrees of simplification to determine the optimum tool life and the tool speed. The accuracy of prediction is dependent on the degree of sophistication of the model. The purpose of this paper is the optimization of the cutting tool life and the cutting speed at the drilling of the stainless steels in terms of the minimum machining cost. A more comprehensive nonlinear programming model to minimize the total cost at the drilling of a stainless steel is developed in this paper. The optimum tool life and the associated tool speed are obtained by solving this model. The results can be taken into consideration in the educational studies and in the theoretical technical research. They can be implemented in the manufacturing activity.

Optimization of Cutting Conditions for Multi-Pass Operations Considering Probabilistic Nature in Machining Processes

1977 ◽  
Vol 99 (1) ◽  
pp. 210-217 ◽  
Author(s):  
K. Iwata ◽  
Y. Murotsu ◽  
F. Oba
Keyword(s):  
Dynamic Programming ◽  
Stochastic Programming ◽  
Cutting Speed ◽  
Cutting Conditions ◽  
Depth Of Cut ◽  
Machining Processes ◽  
Optimum Cutting ◽  
The Cost ◽  
Probabilistic Nature ◽  
Number Of Passes

This paper deals with the problem of optimizing the number of passes required together with the cutting speed, the feed, and the depth of cut at each pass for a given total depth of cut to be removed from a workpiece, considering both the probabilistic nature of the objective function and the constraints in the machining processes. Applying the concept of dynamic programming and stochastic programming, the problem is formulated in an analytically tractable form and a new algorithm is developed for determining the optimum value of the cutting speed, feed, depth of cut, and number of passes, simultaneously. For illustration, a typical example is solved to obtain the cost-minimizing cutting conditions in a turning operation, and the effect on the optimum cutting conditions of the various factors such as total depth of cut, uncertainty of the tool life, and constraints are discussed.

Determination of the Optimal Path of Three Axes Robot Using Genetic Algorithm

2019 ◽  
Vol 44 ◽  
pp. 135-149
Author(s):  
Sid Ahmed Dahmane ◽  
Abdelkader Megueni ◽  
Abdelwahab Azzedine ◽  
Abdelkader Slimane ◽  
Abdelkader Lousdad
Keyword(s):  
Optimal Path ◽  
Cutting Tools ◽  
Machining Process ◽  
Work Piece ◽  
Drilling Process ◽  
Genetic Optimization ◽  
Machining Time ◽  
Planning And Scheduling ◽  
Cylindrical Holes

Drilling is a chip machining process widely used in manufacturing .The term drilling includes all methods for making cylindrical holes in a work piece with chip cutting tools. There are many applications where drilling is used, such as drilling holes in PCBs. Robotic systems are used today to perform the drilling process. A problem that affects the use of these systems is the drilling sequence, as there are usually a number of points to visit. The determination of the drilling sequence is similar to the problem of synchronization of movement and travel time. The main objective is to optimize the time and trajectory of the three axes robot equipped with an automatic drill that seeks the best performance. In this paper, we have built a genetic optimization and problem solving algorithms to shorten the machining time to drill a given group of holes and reduce machining costs in order to improve the efficiency of the machining process as well robotic machining with three axes without degradation of the precision of the movement. The results of the experiments show that the proposed approach is feasible and practical. It is particularly useful in planning and scheduling systems for real-time manufacturing processes.

Model for Economic Optimization of the Tool Life and the Cutting Speed at Drilling of the Steel 2NiCr185

2015 ◽  
Vol 760 ◽  
pp. 439-444 ◽  
Author(s):  
Ovidiu Blăjină ◽  
Aurelian Vlase ◽  
Marius Iacob
Keyword(s):  
Tool Life ◽  
Cutting Tool ◽  
Programming Model ◽  
Cutting Speed ◽  
Machining Process ◽  
Economic Optimization ◽  
Manufacturing Activity ◽  
Nonlinear Programming Model ◽  
The Cost ◽  
Accuracy Of Prediction

In the specialized literature the cost of the machining process has been analyzed using a number of approaches and varying degrees of simplification to determine the optimum tool life and the tool speed. The accuracy of prediction is dependent on the degree of sophistication of the model. The purpose of this paper is the optimization of the cutting tool life and the cutting speed at the drilling of the stainless steels in terms of the minimum machining cost. A more comprehensive nonlinear programming model to minimize the total cost at the drilling of a stainless steel is developed in this paper. The optimum tool life and the associated tool speed are obtained by solving this model. The results can be taken into consideration in the educational studies and in the theoretical technical research. They can be implemented in the manufacturing activity.

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