Dr. Arti is a distinguished academic with over 18 years of rich experience in educating students across various Mechanical Engineering domains at esteemed institutions in Australia and abroad. With a profound expertise in crafting and delivering Mechanical Engineering courses at both undergraduate and postgraduate levels, she excels in synchronous and asynchronous teaching methodologies, rooted in sound adult learning theories.
Throughout her career, Dr. Arti has demonstrated an exceptional grasp of the intricacies involved in Mechanical Engineering education, adeptly navigating face-to-face, blended, and fully online delivery modes. Since 2017, she has been an invaluable member of the Engineering Institute of Technology (EIT), where she serves as a dedicated lecturer in Mechanical Engineering. In addition to her teaching responsibilities, she has actively engaged in guiding and supervising both master’s students’ theses and Doctor of Engineering candidates.
Dr. Arti’s scholarly journey is marked by a commitment to cutting-edge research and innovation. Her Ph.D. project, supported in part by the prestigious CIEAM (CRC for Infrastructure and Engineering Asset Management) scholarship, delved into the realm of stick-slip vibration-based diagnosis and prognosis of cutting tool wear, aligning closely with the research needs of industry partners. Her research interests orbit around condition monitoring and automation, with a specific focus on enhancing unmanned tool wear prediction methodologies.
In her current capacity as the Recognition of Prior Learning (RPL) coordinator, Dr. Arti assumes pivotal responsibilities, overseeing the RPL process, ensuring its quality assurance, fostering effective communication among stakeholders, and spearheading the formulation of RPL guidelines and policies.
Dr. Arti’s leadership extends to her role in coordinating Bachelor of Mechanical Engineering (BME), Graduate Certificate in Safety, Risk and Reliability Engineering (GCSR), and as a deputy coordinator of Doctor of Engineering (DEng) courses, where she orchestrates the seamless execution of academic programs.
With her extensive experience, scholarly prowess, and unwavering commitment to excellence, Dr. Arti continues to shape the future of Mechanical Engineering education and research, leaving an indelible mark on both her students and the academic community at large.
Fields of Research
Mechanical Engineering (0913)
Manufacturing Engineering (0910)
Machine Tools (091003)
Dynamics, Vibration and Vibration Control (091304)
Research Interest
Condition monitoring of machine tools
Prognosis of tool wear
Manufacturing automation
Additive Manufacturing
Renewable energy
Digital Twins
Administrative responsibilities
RPL Coordinator
Staff Professional Development Coordinator
Chair – Teaching and Learning
Course Coordinator – GCSR
Member – Board of Studies
Currently teaching courses/programs
BSC104 Engineering Drawing and CAD
BME204 Machine Dynamics
BME208 Mechanical Design
BME303 Computer Aided Technologies
BSC307 Engineering Capstone Project
BXX001-004 Hands-on Workshops
MME602 Computer Aided Design and Manufacturing
ME700 Project Thesis
DENG602 Technology Evaluation and Intellectual Property
DENG900 Doctoral Dissertation
Teaching Experience (Tertiary)
18 Years
Masters
Constraint Control of a Simulated Ore Crushing Circuit
Simulation of Sensor Signal Wireless Transmission of Real-time, Onboard Condition Monitoring System of Wheel Bearings in The Heavy Rail Haulage in the Iron Ore Pilbara Region (Western Australia)
A Comparative Study on Regression Algorithms for Condition Monitoring of a Hydraulic System
DEng
A project to mitigate Human Factors that aggravate Information Systems Risk at large, multicampus K-12 institutions in the GCC Region
Development of a feasible industrial scale heavy liquid separation process
A Multi-Criteria Maintenance Optimization Decision-Making for Ship Maintenance
Publications
Siddhpura, A. & Paurobally, R. 2013. A review of flank wear prediction methods for tool condition monitoring in a turning process. The International Journal of Advanced Technology, 65, 371-393.
Siddhpura, A. & Paurobally, R. 2012. A study of the effects of friction on flank wear and the role of friction in tool wear monitoring. Australian Journal of Mechanical Engineering, 10,
Siddhpura M, Siddhpura A and Bhave S, (2008) Vibration as a parameter for monitoring the health of precision machine tools. in Conference, Coimbatore (India): Macmillan India
Siddhpura, A. & Paurobally, R. 2013. Time domain analysis of stick-slip vibrations during flank wear in an orthogonal turning process, in International Conference on Sustainable Manufacturing and Operations Management, ISOM 2013, Mauritius.
Siddhpura, A. Siddhpura, R. Paurobally (2017), Chatter stability prediction for a flexible tool-workpiece system in a turning process. The International Journal of Advanced Manufacturing Technology, 1-16.
Siddhpura, A., Indumathi, V. and Siddhpura, M., 2020. Current state of research in application of disruptive technologies in engineering education. Procedia Computer Science, 172, pp.494-501.
Siddhpura, A., & Siddhpura, M. (2020). Plagiarism, Contract Cheating and Other Academic Misconducts in Online Engineering Education: Analysis, Detection and Prevention Strategies. 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 112–119.
Siddhpura, A., & Siddhpura, M. (2021 – accepted manuscript). Synchronous and Asynchronous Online Training Tools and Techniques for Engineering Lecturers of Online and Face-To-Face Delivery Modes. 2021 International e-Engineering Education Services Conference (e-Engineering).
Siddhpura, A., & Siddhpura, M. (2021 – accepted manuscript). Development, Implementation and Analysis of Effectiveness of Online Synchronous and Asynchronous Instructions for Engineering Graphics Course. 2021 International e-Engineering Education Services Conference (e-Engineering).
Siddhpura, A., Siddhpura, M., Evangelista, A. & Indumathi, V. (2021 – accepted manuscript). The success of e-Learning implementation for engineering courses: Case study – EIT. 2021 International e-Engineering Education Services Conference (e-Engineering).
About this paper:Appears in: EDULEARN24 ProceedingsPublication year: 2024Pages: 5099-5107ISBN: 978-84-09-62938-1ISSN: 2340-1117doi: 10.21125/edulearn.2024.1248 Conference name: 16th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2024Location: Palma, Spain Abstract:Engineering education relies heavily on practical exposure in labs and hands-on experience with fundamental concepts. With the rise of online education, universities...Read More
Appears in: EDULEARN24 ProceedingsPublication year: 2024Pages: 3654-3666ISBN: 978-84-09-62938-1ISSN: 2340-1117doi: 10.21125/edulearn.2024.0945 Conference name: 16th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2024Location: Palma, Spain Abstract: In this paper, the authors delve into the intricate world of online laboratories and virtual experimentation within the realm of pedagogy. With the...Read More
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A revised semiempirical approach, considering the average values of the valence electron to atom ratio (e/a̅) and a difference in atomic radii of alloying element/s and the base element (Δr̅), is proposed to predict the twin formation in titanium alloys. The revised e/a̅ versus Δr̅ diagram is plotted, considering the...Read More
Globally, the ease of internet access has had a positive effect on the education sector. Many higher education institutions are leveraging this opportunity and are strongly investing in e-Learning systems offering courses in various disciplines. Engineering courses are challenging on their own, but to teach and engage e-learners' in first...Read More
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Dr Arti Siddhpura is one of EIT’s on-campus lecturers and is a decorated academic, holding a Doctor of Philosophy in Mechanical Engineering from the University of Western Australia. Dr Siddhpura’s engineering journey began in 1996 at the Government Polytechnic University in India, where she earned in Diploma in Mechanical Engineering....Read More
The paper focuses on the chatter stability prediction for a flexible tool-workpiece system in a turning process. The dynamic model of the turning process presented here considers two end conditions of the flexible workpiece. Chatter-free (stable) cutting parameters are obtained analytically and stability lobe diagrams (SLDs) of a turning operation...Read More
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