Evaluating Productivity Characteristics of Laser Engineered Net Shaping Titanium Alloy

Date
2024-10-08
Authors
Polishetty, Ashwin
Bolar, Gururaj
Nomani, Junior
Littlefair, Guy
Supervisor
Item type
Journal Article
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract

Advances in Additive Manufacturing (AM) technologies have made it possible to reduce the design and prototyping costs to a minimum especially for a low-productivity material like titanium. Titanium alloys are commonly and widely used alloys in the aerospace and biomedical sector due to their advantageous material properties. This paper is an evaluation study of factors affecting the productivity characteristics of Laser Engineered Net Shaping (LENS) titanium alloy (Ti-6Al-4 V) using face milling. Some of the productivity challenges associated with titanium such as rapid tool wear, poor surface finish, and high-power consumption are explored in this paper. All materials processed using AM face the same critical problem that the manufactured part requires a post machining since AM produces relatively poor surface finish. Machining trials are conducted using the combinations of machining parameters such as spindle speed of 800 and 1600 rev/min; feed rate of 50 and 100 mm/min; and a constant depth of cut of 1 mm, respectively. Titanium being a poor thermal conductivity material, the effect of coolant was investigated using wet/dry machining. Data related to the productivity factors and material behavior under a milling trial was recorded and analyzed. The obtained data from the trials include productivity factors such as Metal Removal Rate (MRR), power consumed, and the surface finish for each plate/trial. The power consumed in dry milling was observed to be lower than that in wet milling which is contrary to the observations from conventional wet milling. The paper concludes the trends observed for LENS titanium are opposed to the trends in conventional machining such as increasing cutting speed will result in lower cutting force and power consumed.

Description
Keywords
01 Mathematical Sciences , 08 Information and Computing Sciences , 09 Engineering , Industrial Engineering & Automation , 40 Engineering , 46 Information and computing sciences , 49 Mathematical sciences
Source
The International Journal of Advanced Manufacturing Technology, ISSN: 0268-3768 (Print); 1433-3015 (Online), Springer. doi: 10.1007/s00170-024-14599-0
Rights statement
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