scholarly journals Critical Analysis of the Selection of Non-Conventional Machining Processes

2021 ◽  
pp. 132-139
Author(s):  
Jesang Hutchinson
Keyword(s):  
Decision Making ◽  
Stainless Steels ◽  
Critical Analysis ◽  
High Strength ◽  
Machining Processes ◽  
Resistant Alloy ◽  
Complex Shapes ◽  
High Strength Fiber ◽  
Conventional Machining ◽  
Selection Of

Non-Convectional Machining (NCM) processes are used widely to produce accurate and intricate material shape such as titanium, stainless steels and resistant alloy that are of high strength, fiber-based composite, refractories and ceramics. The production of more complex shapes of materials using convectional machining processes is considered to be challenging. This research paper focusses on the section of the most effective NCM process. The ‘choice’ of the most considerable NCM process for a particular application could be seen as a multi-technique for making proper choices for diverse or conflicting approaches. To aid the process of choosing, various NCM techniques have been proposed in this research. This contribution focuses on the usage of unexplored NCM and Multi-Feature Decision-Making (MFDM) ‘choice’ issues.

An Expert System Based on a Hybrid Multi-Criteria Decision Making Method for Selection of Non-Conventional Machining Processes

2015 ◽  
Vol 735 ◽  
pp. 41-49 ◽  
Author(s):  
Arash Azaryoon ◽  
Musa Hamidon ◽  
Ashraf Radwan
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Reference Points ◽  
Multi Criteria Decision Making ◽  
Compromise Solution ◽  
Machining Processes ◽  
Workpiece Material ◽  
Topsis Technique ◽  
Conventional Machining ◽  
Selection Of

In this study, a knowledge-based system has been developed for selection of non-conventional machining processes using a hybrid multi-criteria decision making Method. This approach is a combination ofDEMATEL(Decision Making Trial and Evaluation Laboratory),ANP(Analytic Network Process) andVIKOR(VlseKriterijumska Optimizacija I Kompromisno Resenje, in Serbian, meaning Multi-criteria Optimization and Compromise Solution) methods which evaluates different types of quantitative and qualitative measures of performance and economic factors, and ultimately provides a set of capable processes in order of priority. Twelve machining processes, eight group of workpiece material and eighteen shape features have been investigated in this study. What separates this approach from others is that, this hybrid method considers the influence of factors in the network relation map as well as their relative importance. Moreover, unlike other popular ranking methods such as TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution), it is not just based on two reference points, namely ideal and inferior points; instead, it proposes a compromise solution and not just a single ranking score. Observations have shown that the developed system works satisfactorily, yields acceptable results and makes accurate decisions as well. It also provides a comparative study among the alternative processes by utilizing graphical features for better analysis and judgment of acceptable alternatives.

scholarly journals Selection of the most suitable non-conventional machining processes for ceramics machining by using MCDMs

2015 ◽  
Vol 47 (2) ◽  
pp. 229-235 ◽  
Author(s):  
D. Petkovic ◽  
M. Madic ◽  
G. Radenkovic
Keyword(s):  
Decision Making ◽  
Machining Process ◽  
Multi Criteria Decision Making ◽  
Process Selection ◽  
Machining Processes ◽  
Conventional Machining ◽  
Selection Of

Selection of the most suitable non-conventional machining process (NCMP) for a ceramics machining represents a multi-criteria decision making (MCDM) problem. This paper describes the application of relatively novel MCDM methods for selecting the most suitable NCMP for the ceramics machining. By applying WASPAS and COPRAS methods, ten NCMPs (alternatives) were ranked based on the ten criteria. Comparison of obtained ranking performances with other MCDM methods used by previous researchers was carried out in order to demonstrate WASPAS and COPRAS applicability and capability for non-conventional machining process selection.

Hybrid Non Conventional Machining of Glass - A Review

2019 ◽  
Vol 895 ◽  
pp. 8-14 ◽  
Author(s):  
Y. Nagaraj ◽  
N. Jagannatha ◽  
N. Sathisha
Keyword(s):  
Surface Finish ◽  
Machining Process ◽  
Machining Processes ◽  
Advantages And Disadvantages ◽  
Good Surface ◽  
Hard And Brittle Material ◽  
Good Surface Finish ◽  
Output Characteristics ◽  
Conventional Machining ◽  
Selection Of

Glass, being considered as hard and brittle material is very difficult to machine into desired shapes. The readily available conventional machining process does not provide good surface finish thus requires additional machining process. This paper reviews the different existing non conventional machining process accessible till today for the machining of glass materials. This paper also discusses the advantages and disadvantages of the existing non conventional machining processes. The various hybrid non conventional machining processes are also studied with focus on machining output characteristics like MRR, surface finish, tool wear rate. This paper summarizes the selection of hybrid non conventional machining processes for the various type of glass.

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.

Selection of Metal Electrodes for and Effect of Welding Treatment on Hardness and Microstructure of Some Type of Austenitic Stainless Steels

2009 ◽  
Author(s):  
M. M. Ibrahim ◽  
H. G. Mohamed ◽  
Y. E. Tawfik
Keyword(s):  
Mechanical Properties ◽  
Stainless Steels ◽  
Pressure Vessel ◽  
Nuclear Power ◽  
Plate Thickness ◽  
Austenitic Stainless Steels ◽  
High Strength ◽  
Aisi 304L ◽  
Stress Relieving ◽  
Selection Of

Austenitic stainless steels have been the focus of considerable research recently because of their high strength, good ductility, excellent corrosion resistance and a reasonable weldability. These properties make austenitic stainless steels attractive candidate materials for use in the fabrication of piping systems, automotive exhaust gas systems and in a variety of equipment associated with the chemical and nuclear power industries. PWHT is a stress relieving process whereby residual stresses are reduced by typically heating to 550–650 °C for a set time depending upon plate thickness. The effect of PWHT on mechanical properties such as hardness, ultimate tensile strength, yield strength, impact energy and ductile to brittle transition temperature are of great concern to the pressure vessel industry and pressure vessel codes. This paper reports on the effect of multiple PWHT on hardness and microstructure of austenitic stainless steels. The 6 mm AISI 304L, 316L, and 347 austenitic stainless steels were used for this work. This welds were produced by SMAW and GTAW techniques using a single vee preparation and multiple weld beads, and welded by various types of consumables. Selection of a suitable consumables metals for joining those weldment sample joints are an important criterion in view of the differences in physical, chemical, and mechanical properties of the base materials involved.

scholarly journals Education for the rural development. A critical analysis of the implementation process of the Escuela Nueva program in Colombia

2020 ◽  
Vol 2 (4) ◽  
pp. 526-542
Author(s):  
Daniela Hernández-Silva
Keyword(s):  
Decision Making ◽  
Rural Development ◽  
Critical Analysis ◽  
Sample Selection ◽  
Implementation Process ◽  
International Perspective ◽  
Policy Borrowing ◽  
Selection Of

The article exposes the results of a critical analysis of the implementation process of the program Escuela Nueva in Colombia. It proposes a review at the policy borrowing process from an international perspective, as well as a description of the dynamics of implementation within the Colombian context. For such aim, an exhaustive analysis was performed by implementing a qualitative documentary review, using a typological sample selection of sources. The conclusions suggest the need to consider attendance and transition indicators as key elements for decision making regarding the continuity, diversification and improvement of the program, as well as the urgency of unifying the national goals in pursuit of a coordinated implementation of rural programs. 

Parametric Optimization of Some Non-Conventional Machining Processes Using MOORA Method

2015 ◽  
Vol 20 ◽  
pp. 19-40 ◽  
Author(s):  
Akhtar Khan ◽  
Kalipada Maity
Keyword(s):  
Optimization Methods ◽  
Machining Parameters ◽  
Machining Processes ◽  
Multi Objective ◽  
Manufacturing Techniques ◽  
Input Variables ◽  
Moora Method ◽  
Machining Parameter ◽  
Conventional Machining ◽  
Selection Of

Non-conventional manufacturing techniques are most widely used in industries in order to achieve high accuracy and desirable product quality. Therefore, the selection of an appropriate machining parameter has become a crucial job before starting the operation. Several optimization methods are available to resolve the upstairs situation. The current study explores a novel technique namely multi-objective optimization on the basis of ratio analysis (MOORA) to solve different multi-objective problems that are encountered in the real-time manufacturing industries. This study focuses on the application of MOORA method for solving some non-conventional machining processes that have multiple criteria problems. Wire-Electric Discharge Machining (WEDM), Plasma Arc Cutting (PAC), Electro Chemical Micro Machining (ECMM), Electro Chemical Machining (ECM), Abrasive Jet Machining (AJM), Abrasive Water Jet Machining (AWJM), Ultrasonic Machining (USM), Laser Beam Machining (LBM) and Laser cutting process are the major attentions in the current study. Total nine NTM multi-criteria problems which include selection of proper machining parameters have been studied. The optimal settings of input variables obtained by using MOORA method nearly tie with those derived by the earlier investigators.

Recent Developments in Wire Electrical Discharge Machining

2019 ◽  
pp. 125-152
Author(s):  
Nadeem Faisal ◽  
Sumit Bhowmik ◽  
Kaushik Kumar
Keyword(s):  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Electrical Discharge Machine ◽  
High Strength ◽  
Optimization Methods ◽  
Machining Process ◽  
Machining Processes ◽  
Accuracy And Precision ◽  
Recent Developments ◽  
Conventional Machining

The tremendous growth of manufacturing industries and desired need of accuracy and precision has put a great importance on non-traditional machining processes. Metal and non-metals having properties like high strength, toughness, and hardness is generally machined by non-conventional machining methods. One of earliest non-traditional machining that is still in use and being effectively utilized in industries is wire electrical discharge machine. This machining technique gives a tough line of competition to conventional machining process like milling, grinding, broaching, etc. Cutting intricate and delicate shapes with accuracy and precision gives this machining technique an edge over other conventional machining and non-conventional machining processes. This chapter provides an insight to various research and prominent work done in field of WEDM by various scientists, researchers, and academicians. The chapter also emphasizes various advantages and disadvantages of different modelling and optimization methods used. The chapter concludes with some recommendations about trends for future WEDM researchers.

scholarly journals Biased competition in the absence of input bias: predictions from corticostriatal computation

2018 ◽  
Author(s):  
Salva Ardid ◽  
Jason S. Sherfey ◽  
Michelle M. McCarthy ◽  
Joachim Hass ◽  
Benjamin R. Pittman-Polletta ◽  
...  
Keyword(s):  
Decision Making ◽  
Rhythmic Activity ◽  
High Strength ◽  
Downstream Processing ◽  
Biased Competition ◽  
Rule Based ◽  
Cortical Input ◽  
Neuronal Ensembles ◽  
Input Strength ◽  
Selection Of

Classical accounts of biased competition (BC) require an input bias to resolve the competition between neuronal ensembles driving downstream processing. However, flexible and reliable selection of behaviorally-relevant ensembles can occur with unbiased stimulation: striatal D1 and D2 spiny projecting neurons (SPNs) receive balanced cortical input, yet their activity determines the choice between GO and NO-GO pathways in the basal ganglia. We present a corticostriatal model identifying three mechanisms that rely on physiological asymmetries to effect rate- and time-coded BC in the presence of balanced inputs. First, tonic input strength determines which SPN phenotype exhibit higher mean firing rate (FR). Second, low strength oscillatory inputs induce higher FR in D2 SPNs but higher coherence between D1 SPNs. Third, high strength inputs oscillating at distinct frequencies preferentially activate D1 or D2 SPN populations. Of these mechanisms, the latter accommodates observed rhythmic activity supporting rule-based decision making in prefrontal cortex.

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