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ABSTRACT
This review paper aims to analyse the research gaps and opportunities in machine parameter optimisation for sustainable machining of magnesium alloys. The study recommends further research in areas such as novel machining methods, multi-objective optimisation techniques, comprehensive methodologies, and sustainability issues. The report emphasises the need for additional research on the optimisation of machine parameters for magnesium alloys, as they could potentially replace steel and aluminium in some applications. Additionally, the study suggests that future research should focus on the wider implications of sustainability and economic viability, as well as the adoption of optimised machining parameters by industry.
Graphical abstract
Abbreviations
| Abbreviation | = | Full form |
| AHP | = | Analytic Hierarchy Process |
| AI | = | Artificial Intelligence |
| ANFIS | = | Adaptive Neuro-Fuzzy Inference System |
| ANN | = | Artificial Neural Network |
| ANOVA | = | Analysis of Variance |
| AWJM | = | Abrasive Water Jet Machining |
| CCD | = | Central Composite Design |
| CNC | = | Computer Numerical Control |
| COPRAS | = | COnplex PRoportional ASsessment |
| CRITIC | = | CRiteria Importance Through Intercriteria Correlation |
| DFA | = | Discriminant Function Analysis |
| DFO | = | Derivative-Free Optimization |
| DEAR | = | Data Envelopment Analysis Ranking |
| EDD | = | Electrical Discharge Drilling |
| EDM | = | Electrical Discharge Machining |
| EDX | = | Energy-Dispersive X-ray spectroscopy |
| EWM | = | Exponential Weighted Moving average |
| FCCD | = | Face-Centered Central Composite Design |
| FEA | = | Finite Element Analysis |
| FSW | = | Friction Stir Welding |
| GA | = | Genetic Algorithm |
| GDP | = | Gross Domestic Product |
| GRA | = | Grey Relational Analysis |
| GRG | = | Generalized Reduced Gradient |
| GWO | = | Grey Wolf Optimization |
| LCA | = | Life Cycle Assessment |
| MADM | = | Multi-Attribute Decision Making |
| MARCOS | = | Multi-Attribute Rating COmplex Scoring |
| MDOS | = | Movement Direction of Spindle |
| ML | = | Machine Learning |
| MOGA | = | Multi-Objective Genetic Algorithm |
| MOORA | = | Multi-Objective Optimization by Ratio Analysis |
| MOPSO | = | Multi-Objective Particle Swarm Optimization |
| MPO | = | Machine Parameter Optimization |
| MQL | = | Minimum Quantity Lubrication |
| MRR | = | Material Removal Rate |
| PAC | = | Plasma arc cutting |
| PBOM | = | Product Bill of Materials |
| PCD | = | Polycrystalline Diamond |
| PLA | = | Polylactic Acid |
| PSO | = | Particle Swarm Optimization |
| RSM | = | Response Surface Methodology |
| SEM | = | Scanning Electron Microscope |
| SLM | = | Selective Laser Melting |
| TLBO | = | Teaching Learning Based Optimization |
Disclosure statement
‘This work was supported by the Government of Pakistan Planning Commission under Grant Establishment of National Center in Big Data & Cloud Computing (NCBC). The funding provided by the Government of Pakistan Planning Commission was instrumental in enabling the execution of this research project’.
Data availability statement
The data that support the findings of this study are available from the corresponding author, M Atif, upon request.