Aki Mikkola received a Ph.D. degree in the field of machine design in 1997. Since 2002, he has been working as a Professor in the Department of Mechanical Engineering at LUT University, Lappeenranta, Finland. Currently, Mikkola leads the research team of the Laboratory of Machine Design. He has been awarded five patents, has contributed to more than 150 peer-reviewed journal papers and has presented more than 100 conference articles. His major research activities are related to flexible multibody dynamics, rotating structures, and biomechanics. Mikkola is currently Editor-in-Chief of the Journal of Multibody System Dynamics (Springer).
Arvind Raman's research focuses on exploiting nonlinear dynamics for innovations in diverse interdisciplinary areas such as nanotechnology, biomechanics and appropriate technologies for sustainable development. His work on the Atomic Force Microscope (AFM) has helped the scientific and industrial community recognize and exploit nonlinear effects to better and more rapidly image and measure properties of complex materials at the nanoscale. Via the cyberinfrastructure of nanohub the AFM simulation tools developed by Raman’s group have been used by thousands of researchers worldwide. He is the co-founder of the Shah Family Global Innovation Lab in the College of Engineering that supports technology development and translation of technologies for sustainable development and the PI of the $70M USAID funded LASER PULSE center that convenes and catalyzes a global network of universities, government agencies, non- governmental organizations, and the private sector for research-driven practical solutions to critical development challenges in Low- and Middle- Income Countries.
Raman is an ASME fellow, an ASME Gustus Larson Memorial Award recipient, Keeley fellow (Oxford), College of Engineering outstanding young investigator awardee, and a NSF CAREER awardee. Professor Raman joined Purdue University in 2000 as an Assistant Professor following a PhD in Mechanical Engineering from the University of California at Berkeley advised by Prof. C.D Mote Jr. (1999), MS in Mechanical Engineering from Purdue University (1993), and a B. Tech in Mechanical Engineering from the Indian Institute of Technology, Delhi (1991).
Traditionally, multibody system dynamics has been used as a tool to expedite and enhance the quality product development processes. In this study, the use of multibody system dynamics is extended beyond the product development phase to cover the entire product lifetime. The study highlights how multibody system dynamics can enhance understanding product usage and offer a better understanding of the customers and production as well as boosting service-based businesses.
The introduced extension of multibody system dynamics is significant because traditional material-based business processes, i.e. product manufacturing, are being supplemented by models based on data and knowledge processing. These new business models seem to complement traditional economic theories such as the concept of diminishing returns. Therefore, multibody system dynamics plays a critical role in building businesses related to data and knowledge processing.
The study provides several examples, such as the use of multibody system dynamics in gamification as part of the product development process [1]. Additionally, it demonstrates how multibody system dynamics-based models can be integrated with real machines using a concept called reality-driven simulation [2]. In this concept, the multibody system model is actuated via sensor signals coming from the operating machine. The presentation also covers how artificial intelligence can control multibody system models [3] and how data required for artificial intelligence can be generated by models based on multibody system dynamics [4]. Finally, the study highlights the biomechanical applications of multibody system dynamics and how it can help to better understand human behavior as part of the assembly line.
In conclusion, the presentation emphasizes that the use of multibody system dynamics can be extended to various product processes and that it represents an indispensable tool for future product processes.
REFERENCES
[1] Jaiswal, S., Iftekharul Islam, M., Lea Hannola, Sopanen, J., Mikkola, A., Gamification Procedure based on Real-time Multibody Simulation, the International Review on Modelling and Simulations (IREMOS), 2018, 11(5), pp. 259-266.
[2] Jaiswal, S., Sanjurjo, E., Cuadrado, J., Sopanen, J., Mikkola, A., State Estimator Based on an Indirect Kalman Filter for a Hydraulically Actuated Multibody System, Multibody System Dynamics, 2022, 54(4), pp. 373-398.
[3] Kurinov, I., Orzechowski, G., Hämäläinen, P., and Mikkola, A. Automated Excavator Based on Reinforcement Learning and Multibody System Dynamics, IEEE Access, 2020, 8, pp. 213998-214006.
[4] Choi, H.-S., An, J., Han, S., Kim, J.-G., Jung, J.-Y., Choi, J., Orzechowski, G., Mikkola, A., and Choi, J.-H., Data-Driven Simulation for General-Purpose Multibody Dynamics Using Deep Neural Networks, Multibody System Dynamics, 2021, 51(4), pp. 419-454.
Understanding and exploiting the nonlinear dynamics of resonant microcantilevers in the Atomic Force Microscope (AFM) has been fundamental to the advancement of the AFM. This has enabled the microscope to operate more stably, with better resolution, and has enabled the microscope to sensitively measure contrasts in material properties at the nanoscale. In the first part of this talk, I will review some key past results on nonlinear dynamics in the Atomic Force Microscope (AFM) in both air and liquid environments when the AFM is resonantly driven at one excitation frequency.
Next, I will discuss some recent results on the nonlinear dynamics in Intermodulation Atomic Force Microscopy. Intermodulation Atomic Force Microscopy (ImAFM) is a multi-frequency Atomic Force Microscopy (AFM) technique of increasing interest which can simultaneously map the nanoscale compositional contrast of samples and reconstruct quantitatively the nonlinear interaction force between the AFM probe tip and sample surface through measurement of intermodulation products (IMPs). The interaction nonlinearity and resonant excitation of the AFM microcantilever at two closely spaced frequencies create conditions for little-studied yet rich nonlinear dynamical phenomena that could be used to improve the technique. Through theory and experiments we show that this important multi-frequency AFM method also features the possibility of bi-stability, bifurcations, and co-existence of solutions. By controlling the difference frequency one can in fact control access to two different regimes of operation, one dominated by attractive forces and another by repulsive forces, each with a different spectrum of intermodulation products.