Machinability of titanium alloy through laser machining: material removal and surface roughness analysis

Ahmed, Naveed; Ahmad, Shafiq; Hussain, Amjad; Rafaqat, Madiha; Zaindin, Mazen

doi:10.1007/s00170-019-04564-7

Cited by 24 publications

(17 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The problems of high rate of tool wear and residual stresses on workpiece that are associated with conventional machining are controlled to a higher degree. However, incidence of heat affected zone and recast layers have been reported in electric discharge machining [107,108] as well as laser beam machining [109]. This is because materials removal in LBM and EDM processes is achieved by melting and evaporation.…”

Section: Non-conventional Machiningmentioning

confidence: 99%

“…The studies carried out since the review of Debby and Yedava in 2008 [106] have considered one or more of their recommendations. For example, the machinability of Ti-6Al-4V using laser beam machining was explored by Ahmed et al [109] in 2019. They showed that machinability indicators such as metal removal rate and surface roughness of titanium are influenced by a wide spectrum of parameters as shown in Figure 12.…”

Section: Laser Beam Machiningmentioning

confidence: 99%

“…Of these variables, five parameters which include lamp current intensity (I), pulse frequency (f), scanning speed (V), track displacement (TD) and layer thickness (LT) were varied, and their influence on material removal rate Table 3. RSM FCCCD and the selected experimental results, reuse with permission from Springer Nature, Ahmed et al [109].…”

Section: Laser Beam Machiningmentioning

confidence: 99%

“…Kumar and Table 4. Optimisation selection criteria and other details, reuse with permission from Springer Nature, Ahmed et al [109]. Khamba [42] used dimensional analysis to model material removal rate for ultrasonic machining of titanium alloy.…”

Section: Ultrasonic Machiningmentioning

confidence: 99%

“…Possible factors affecting beam machining performance (metal removal rate and surface roughness), reuse with permission from Springer Nature, Ahmed et al[109].…”

mentioning

confidence: 99%

See 4 more Smart Citations

An overview of conventional and non-conventional techniques for machining of titanium alloys

et al. 2020

View full text Add to dashboard Cite

Machining is one of the major contributors to the high cost of titanium-based components. This is as a result of severe tool wear and high volume of waste generated from the workpiece. Research efforts seeking to reduce the cost of titanium alloys have explored the possibility of either eliminating machining as a processing step or optimising parameters for machining titanium alloys. Since the former is still at the infant stage, this article provides a review on the common machining techniques that were used for processing titanium-based components. These techniques are classified into two major categories based on the type of contact between the titanium workpiece and the tool. The two categories were dubbed conventional and non-conventional machining techniques. Most of the parameters that are associated with these techniques and their corresponding machinability indicators were presented. The common machinability indicators that are covered in this review include surface roughness, cutting forces, tool wear rate, chip formation and material removal rate. However, surface roughness, tool wear rate and metal removal rate were emphasised. The critical or optimum combination of parameters for achieving improved machinability was also highlighted. Some recommendations on future research directions are made.

show abstract

Section: Non-conventional Machiningmentioning

confidence: 99%

Section: Laser Beam Machiningmentioning

confidence: 99%

Section: Laser Beam Machiningmentioning

confidence: 99%

Section: Ultrasonic Machiningmentioning

confidence: 99%

“…Possible factors affecting beam machining performance (metal removal rate and surface roughness), reuse with permission from Springer Nature, Ahmed et al[109].…”

mentioning

confidence: 99%

See 3 more Smart Citations