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Anil Ansoliya

Anil Ansoliya

Mechanical engineer focused on condition monitoring and additive manufacturing

anilansoliya
Jabalpur, India
Joined March 2026
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Summary

Focused researcher in condition monitoring for additive manufacturing, especially fused filament fabrication (FFF), using data-driven and acoustic-signal approaches to detect faults and improve printer reliability. orcid+2
Active academic author with conference and journal contributions (2025 publications and proceedings) addressing acoustic signal analysis, machine learning for fault detection, and related condition-monitoring methods. asme+2
Educated at PDPM IIITDM Jabalpur (M.Tech 20172019) and enrolled in doctoral research from 2019 onward, linking formal training in design/mechanical engineering to applied monitoring research. orcid+1
Maintains public researcher profiles and a personal about.me page; balances technical research with personal interests such as reading, cycling, and music. about+2

Work

Education

Projects

Writing

Nozzle clogging detection in FFF 3D printing using machine learning approach: A comparative investigation

January 1, 2025

Comparative investigation of machine learning methods to detect nozzle clogging in fused filament fabrication (FFF) 3D printing.

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Wavelet Scattergram Based Acoustic Signal Analysis for Chatter Detection in Turning Process

January 1, 2025

Conference paper presenting a wavelet-scattergram approach to analyze acoustic signals for chatter detection in turning processes, demonstrating a non-intrusive monitoring method.

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Acoustic Signal Based Fault Detection in Fused Filament Fabrication (FFF) Printer

January 1, 2025

Conference paper applying acoustic-signal analysis for fault detection in FFF printers.

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