Application of grey fuzzy logic in abrasive jet machining process

Sadhana ◽  
2022 ◽  
Vol 47 (1) ◽  
Author(s):  
Lijo Paul ◽  
Jalumedi Babu ◽  
Sachin Jose ◽  
Sebin Babu
Keyword(s):  
Fuzzy Logic ◽  
Machining Process ◽  
Abrasive Jet Machining

A Study of Abrasive Jet Micro-Grooving of Quartz Crystals

2010 ◽  
Vol 443 ◽  
pp. 645-651 ◽  
Author(s):  
Alireza Moridi ◽  
Jun Wang ◽  
Yasser M. Ali ◽  
Philip Mathew ◽  
Xiao Ping Li
Keyword(s):  
Predictive Models ◽  
Deep Understanding ◽  
Machining Process ◽  
Micro Machining ◽  
Machining Performance ◽  
Quartz Crystals ◽  
Abrasive Jet Machining ◽  
Model Predictions ◽  
Micro Grooving ◽  
Good Agreement

Owing to its various distinct advantages over the other machining technologies, abrasive jet machining has become a promising machining technology for brittle and hard-to-machine materials. An experimental study is presented on the micro-grooving of quartz crystals using an abrasive airjet. The effect of the various process parameters on the major machining performance measures are analysed to provide a deep understanding of this micro-machining process. Predictive models are then developed for quantitatively estimating the machining performance. The models are finally verified by an experiment. It shows that the model predictions are in good agreement with the experimental results under the corresponding conditions.

scholarly journals Abrasive jet drilling of glass sheets: Effect and optimisation of process parameters on kerf taper

2018 ◽  
Vol 10 (1) ◽  
pp. 168781401774843 ◽  
Author(s):  
Ahmed Nassef ◽  
Ahmed Elkaseer ◽  
El Shimaa Abdelnasser ◽  
Mohamed Negm ◽  
Jaber Abu Qudeiri
Keyword(s):  
Process Parameters ◽  
Applied Pressure ◽  
Dimensional Accuracy ◽  
Major Effect ◽  
Machining Process ◽  
Standoff Distance ◽  
Influence Of Process Parameters ◽  
Abrasive Jet Machining ◽  
Proposed Model ◽  
Kerf Taper

This article reports an investigation of the influence of process parameters on the obtainable dimensional accuracy when drilling glass using abrasive jet machining. In particular, holes were drilled out of glass sheets, and the effects of standoff distance, nozzle diameter, particle grain size and applied pressure on the kerf taper were examined. An artificial neural network technique was used to establish a precise model of kerf taper as a function of the process parameters. The proposed model was then optimised, and the conditions to minimise the kerf taper were identified using a genetic algorithm. The results revealed that standoff distance has a major effect on kerf taper, and it proved possible to substantially reduce the kerf taper by applying an axial feed to the nozzle so that the standoff distance is kept constant during the machining process.

Performance evaluation of newly designed nozzle on abrasive jet machining characteristics of laminated composites

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
M. Balasubramanian ◽  
S. Madhu
Keyword(s):  
Removal Rate ◽  
Dimensional Accuracy ◽  
Machining Process ◽  
Machining Time ◽  
Content Type ◽  
Abrasive Jet Machining ◽  
Glass Fibre Reinforced Polymer ◽  
Challenging Tasks ◽  
Fibre Reinforced Polymer ◽  
Glass Fibre Reinforced

Purpose The purpose of the study is to machine the composites at lower machining time with higher accuracy without causing delamination. Design/methodology/approach Abrasive jet machining is the technology appropriate for machining composite materials to obtain good dimensional accuracy without causing de-lamination. The central composite design was followed in deciding the number of experiments to be carried out. Findings The influence of abrasive jet machining process parameters on machining time, material removal rate (MRR) and kerf characteristics were investigated. The experimental results proved the newly designed internal threaded nozzle increased MRR, thereby reducing the machining time. Originality/value Machining of glass fibre reinforced polymer (GFRP) is one of the challenging tasks given its non-linear and in-homogeneous properties. In this investigation, newly developed threaded and unthreaded nozzles in machining were used for making holes on the GFRP composites.

Contribution to Computer Control and Optimization of Hydro-Abrasive Jet Machining Process

1991 ◽  
Author(s):  
Roberto Groppetti ◽  
Giuseppe Comi
Keyword(s):  
Real Time ◽  
Process Model ◽  
Wide Spectrum ◽  
Computer Control ◽  
Process Condition ◽  
Machining Process ◽  
Process Variables ◽  
Real Time Control ◽  
Machining Conditions ◽  
Abrasive Jet Machining

Abstract Hydro-Abrasive Jet Machining (HAJM) has demonstrated its suitability for several applications in the machining of a wide spectrum of materials (metals, polymers, ceramics, fibre reinforced composites, etc.). The paper is a contribution to the computer control, integration and optimization of HAJM process in order to establish a hierarchical control architecture and a platform for the implementation of a real-time Adaptive Control Optimization (ACO) module. The paper presents the approach followed and the main results obtained during the development and implementation of a HAJM cell and its computerized controller. A critical analysis of the process variables available in the literature is presented, in order to identify the process variables and to define a process model suitable for HAJM real-time control and optimization. Besides for HAJM computer control, in order to correlate process variables and parameters with machining results, a process model and an optimization procedure are necessary in order to avoid expensive and time-consuming experiments for the determination of optimal machining conditions. The paper presents the configuration of the cell and the specific components adopted in order to make possible a fully computerized control of the process, and the architecture of the controller, capable to manage the several logical and analogical signals from the different modules of the cell, for multiprogramming, process monitoring, controlling, process parameters predetermination, process condition multiobjective optimization. A prediction and an optimization model is presented allowing the identification of optimal machining conditions using multiobjective programming. This model is based on the definition of an economy function and a productivity function, with suitable constraints relevant to the required machining quality, the required kerfing depth and the available resources. A test case based on experimental results is discussed in order to validate the model.

High-quality cutting edge preparation of micromilling tools using wet abrasive jet machining process

2017 ◽  
Vol 12 (1) ◽  
pp. 45-51 ◽  
Author(s):  
E. Krebs ◽  
M. Wolf ◽  
D. Biermann ◽  
W. Tillmann ◽  
D. Stangier
Keyword(s):  
Cutting Edge ◽  
Machining Process ◽  
High Quality ◽  
Abrasive Jet Machining ◽  
Cutting Edge Preparation ◽  
Edge Preparation

Analysis and optimisation of machinability behavior of GFRP composites using fuzzy logic

2015 ◽  
Vol 11 (1) ◽  
pp. 102-119 ◽  
Author(s):  
Jenarthanan Poornachary Mugundhu ◽  
Suresh Subramanian ◽  
Ajay Subramanian
Keyword(s):  
Fuzzy Logic ◽  
Machining Process ◽  
Depth Of Cut ◽  
Work Piece ◽  
Mechanical And Thermal Properties ◽  
Machining Parameters ◽  
End Mill ◽  
Gfrp Composites ◽  
Content Type ◽  
Useful Life

Purpose – Glass fibre reinforced plastics (GFRP) contain two phases of materials with drastically distinguished mechanical and thermal properties, which brings in complicated interactions between the matrix and the reinforcement during machining. Surface quality and dimensional precision will greatly affect parts during their useful life especially in cases where the components will be in contact with other elements or materials during their useful life. The purpose of this paper is to discuss the application of the Taguchi method with fuzzy logic to optimise the machining parameters for machining of GFRP composites with multiple characteristics. Design/methodology/approach – The machining tests were performed on a CNC milling machine using solid carbide (K10) End mill cutting tool with three different helix angles. Experiments were planned using Taguchi’s orthogonal array with the cutting conditions prefixed. Findings – The machining parameters, namely, helix angle of the end mill cutter, spindle speed, feed rate, depth of cut, and work piece fibre orientation (specially applied to the GFRP composites) were optimised with considerations of multiple response characteristics, including machining force, material removal rate, and delamination. The results from confirmation runs indicated that the determined optimal combination of machining parameters improved the performance of the machining process. Originality/value – Multi-response optimisation of machinability behaviour of GFRP composites using fuzzy logic has not been attempted previously.

scholarly journals Abrasive Jet Drilling of Glass using Normal-bed and Fluidized-bed AJM Setup

2020 ◽  
Vol 9 (3) ◽  
pp. 1335-1341
Keyword(s):  
Fluidized Bed ◽  
Machining Process ◽  
Work Piece ◽  
Glass Work ◽  
Fluidised Bed ◽  
Abrasive Jet Machining ◽  
Mixing Chamber ◽  
Hard And Brittle Materials ◽  
Sem Micrograph ◽  
The Impact

Abrasive Jet Machining (AJM) is a promising unconventional modern machining process used to machine hard and brittle materials. This paper focuses on machining of borosilicate-glass work piece with various grits of zircon abrasives using normal and fluidised bed mixing chamber based AJM setups.The normal AJM setup is first designed and fabricated to conduct the experiments according to the Box-Behnken design of response surface methodology. Again, some modifications are made in the existing normal mixed chamber to fabricate the fluidized bed mixing chamber based AJM setup and experiments are carried out with the same input parameters on both the AJM setups. The SEM micrograph analysis is performed to study the impact-mechanism and crack-propagation due to AJM.

Overview of Fuzzy Logic Technique for Modeling Machining Process

2015 ◽  
Vol 815 ◽  
pp. 264-267
Author(s):  
Azizah Mohamad ◽  
Azlan Mohd Zain ◽  
Noordin bin Mohd Yusof
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Prediction Model ◽  
Process Parameters ◽  
Previous Literature ◽  
Machining Process ◽  
Fuzzy Logic Technique

This paper describes an overview of Fuzzy Logic (FL) application for solving machining problems. The developed fuzzy prediction model is an essential operational guideline for machinist in decision making and adjusting process parameters. This paper also discussed the previous literature that applied the FL in modeling machining process.

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