Technology of Effective Abrasive Jet Machining of Parts Surfaces

2018 ◽  
pp. 166-176
Author(s):  
Viktor Sychuk ◽  
Oleg Zabolotnyi ◽  
Dmytro Somov
Keyword(s):  
Abrasive Jet Machining

A review of abrasive jet machining

1993 ◽  
Vol 39 (1-2) ◽  
pp. 21-31 ◽  
Author(s):  
N. Ramachandran ◽  
N. Ramakrishnan
Keyword(s):  
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 Development of Laval Nozzle for Micro Abrasive Jet Machining [MAJM] Processes

2018 ◽  
Vol 20 ◽  
pp. 181-186 ◽  
Author(s):  
V.V. Vanmore ◽  
U.A. Dabade
Keyword(s):  
Laval Nozzle ◽  
Abrasive Jet Machining

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.

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