Abstract
Titanium and its alloys are in high demand across a wide range of industries. Owing to their high strength-to-weight ratio, they are also useful in producing armored vehicles and the superstructure of surface ships, in addition to their extensive uses in the aerospace and petrochemical industries. Despite this, machining titanium and its alloys are problematic due to elevated temperatures and high tool wear rates (TWRs). Since the range of allowable cutting conditions for dry machining is restricted, it is not ideal for industrial production. Flood cooling with cutting fluids is a popular solution for lowering the cutting temperatures. Meanwhile, cutting tools and cutting fluids are constantly being improved in order to increase the machining of these alloys. Cutting fluids get rid of heat and metal chips from the cutting 148zone and deliver lubrication. Cutting fluid eliminates certain health and safety concerns when introducing new ones. Long-term exposure to cutting fluid and mist can be hazardous to one’s skin. Researchers have been developing various cutting fluids and techniques for applying these fluids in order to achieve sustainable machining. But ambiguity about the best available cutting fluid remains the same. Since there are so many different kinds of cutting fluids, choosing the right one for machining can be difficult and time-consuming. In this context, this work is an attempt to use multi-criteria decision-making (MCDM) methods to choose the best possible cutting fluid. Three MCDM techniques, namely analytic hierarchy process (AHP), simple additive weighting (SAW), and TOPSIS, have been implemented to select the ideal cutting fluid from a prepared list of the most common and usable cutting fluids. All three methods suggest LB2000 vegetable-based oil as the best-cutting fluid to be used for machining titanium alloys, with keeping all the basic properties and environmental criteria in mind.
| Original language | English |
|---|---|
| Title of host publication | Decision-Making Models and Applications in Manufacturing Environments |
| Publisher | Apple Academic Press |
| Pages | 147-166 |
| Number of pages | 20 |
| ISBN (Electronic) | 9781000882544 |
| ISBN (Print) | 9781774913550 |
| DOIs | |
| Publication status | Published - 01-01-2024 |
All Science Journal Classification (ASJC) codes
- General Engineering
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