Anil Deepati

Dr. Anil Deepati

College of Applied Industrial Technology, Jazan University, Kingdom of Saudi Arabia
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
12 February 2021 in Materials
Verified
Journal Article
Open access
PDF file
Sapam Ningthemba SinghSapam Ningthemba Singh
Sapam Ningthemba Singh
SCSohini Chowdhury
Sohini Chowdhury
YNYadaiah Nirsanametla
Yadaiah Nirsanametla
Anil DeepatiAnil Deepati
Anil Deepati
CHANDER PRAKASHCHANDER PRAKASH
CHANDER PRAKASH
Catalin PruncuCatalin Pruncu
Catalin Pruncu
Investigation of the selective laser melting (SLM) process, using finite element method, to understand the influences of laser power and scanning speed on the heat flow and melt-pool dimensions is a challenging task. Most of the existing studies are focused on the study of thin layer thickness and comparative study of same materials under different manufacturing conditions. The present work is focused on comparative analysis of thermal cycles and complex melt-pool behavior of a high layer thickness multi-layer laser additive manufacturing (LAM) of pure Titanium (Ti) and Inconel 718. A transient 3D finite-element model is developed to perform a quantitative comparative study on two materials to examine the temperature distribution and disparities in melt-pool behaviours under similar processing conditions. It is observed that the layers are properly melted and sintered for the considered process parameters. The temperature and melt-pool increases as laser power move in the same layer and when new layers are added. The same is observed when the laser power increases, and opposite is observed for increasing scanning speed while keeping other parameters constant. It is also found that Inconel 718 alloy has a higher maximum temperature than Ti material for the same process parameter and hence higher melt-pool dimensions.

1 November 2023 in Strojnícky časopis - Journal of Mechanical Engineering
Verified
Journal Article
Open access
PDF file
HTHanuma Taraka
Hanuma Taraka
PPPankaj Pardeep
Pankaj Pardeep
BPBiswas Pankaj
Biswas Pankaj
Anil DeepatiAnil Deepati
Anil Deepati
BIBenjeer Indira
Benjeer Indira
KAKumar Aadarsh
Kumar Aadarsh
Friction stir welding is a solid-state joining process used to weld various materials. Tool life is an important consideration when welding strong metals with the Friction stir welding technique (FSW). The current research aims to calculate tool life by mathematical derivation and simulation using ANSYS transient structural analysis. There are two tool materials and five-pin profiles to consider. The calculated tool life using mathematical formulation is within 15% of the simulation outcome. Further changes are made to the simulation to make the tool life estimate more realistic under FSW’s operation. PcBN tool has superior mechanical properties over the tungsten carbide tool, so the procedure started with the tungsten carbide tool. The conical pin profile is giving 31466 cycles of tool life, which is 70 min run time while working at 450 rpm rotational speed. As a result, for high-strength materials joining, the tool must be chosen based on tool life parameters. The addition of a 1.5 mm fillet at the pin-to-shoulder junction has improved the tool life by 1147 cycles. The PcBN tool is simulated with a conical tool with new pin profiles of conical with grooves and cylindrical fillet with grooves. The maximum tool life of 94018 cycles is obtained for the conical PcBN tool.

5 March 2022 in Advances in Science and Technology Research Journal
Verified
Journal Article
Open access
Anil DeepatiAnil Deepati
Anil Deepati
WAW. H. Alhazmi
W. H. Alhazmi
WZwaleed zakri
waleed zakri
ESEssam Shaban
Essam Shaban
PBPankaj Biswas
Pankaj Biswas
The contemporary work manifests that friction stir welding (FSW) is a viable avenue for joining AA1100 aluminium (Al) to C12200 copper (Cu) plates. In this present study, the response of distinctive welding parameters (viz. tool geometries, tool rotational speed, tool travel speed, and tool...

10 December 2021
Verified
Book Chapter
Closed access
PDF file
SNSivaramakrishnan Natesan
Sivaramakrishnan Natesan
BPBiswajit Parida
Biswajit Parida
NNNithya Natesan
Nithya Natesan
MAMUTHURAJA Ayyankalai
MUTHURAJA Ayyankalai
WAW. H. Alhazmi
W. H. Alhazmi
Anil DeepatiAnil Deepati
Anil Deepati

7 March 2026 in Interactions
Verified
Journal Article
Closed access
PDF file
IBIndira Benjeer Budavarthi
Indira Benjeer Budavarthi
AKADARSHA KUMAR KALADARI
ADARSHA KUMAR KALADARI
Anil DeepatiAnil Deepati
Anil Deepati
VSvijayakumar Sivasundar
vijayakumar Sivasundar

21 July 2026
Verified
Book Chapter
Closed access
PDF file
USUtpal Sen
Utpal Sen
MPMandeep Pathak
Mandeep Pathak
BBBorad M Barkachary
Borad M Barkachary
Anil DeepatiAnil Deepati
Anil Deepati
3D printing, popularly known as additive manufacturing (AM), has been a revolutionary production method for various applications. Although it is very popular, the mechanical performance of parts or objects generated with this method lacks proper analysis. This study used the fused deposition modeling (FDM) method to manufacture experimental study samples. Polylactic acid (PLA), a well-known biodegradable thermoplastic polymer, is widely used due to its environmentally friendly properties and printing capabilities. ASTM D638 Type I Standard is employed to evaluate the tensile properties of PLA specimens in the MTS Acumen Universal Testing Machine (UTM). The study is focused on the influence of infill patterns and density. Nine samples were prepared using SolidWorks computer-aided design (CAD) software, featuring honeycomb and grid infill structures, which were incorporated to examine variations in strength with infill density at levels of 20%, 40%, 60%, and 80%, as well as a fully solid sample with a 100% infill, then printed using an Olivetti 3D desktop printer. Four samples of a honeycomb structure, and four samples of a grid structure were used. For simulation, the corresponding samples were analyzed using ANSYS software to determine stress distribution and deformation behavior. The results showed strong similarity between experimental and simulated data. It was found that an 80% honeycomb infill possesses the most favorable balance between mechanical strength and weight, i.e. a better strength-to-weight ratio. This study indicates that the structural optimization of 3D-printed parts relies heavily on infill pattern and density, particularly in 3D-printed PLA parts using FDM.