Centre of Industrial Simulation and Prototyping

Simulation and modelling capabilities

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  Product Design & Advanced Manufacturing

  Develop products from concept through engineering design, prototyping and manufacturing using CAD, material selection, design optimization, additive manufacturing and performance testing.

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  Structural & Mechanical Simulation

  Analyze stress, deformation, contact, buckling, structural integrity and mechanical performance to understand how components and systems respond under different loads and operating conditions.

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  Computational Fluid Dynamics (CFD)

  Model fluid and airflow behaviour, including velocity, pressure, turbulence and heat transfer, to evaluate performance, identify issues and optimize fluid-based systems and designs.

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  Thermal Simulation

  Analyze heat transfer, temperature distribution, heating and cooling behaviour to evaluate thermal performance and improve the design of components, equipment and systems.

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  Fluid-Structure Interaction (FSI)

  Model the interaction between fluid behaviour and structural response where each affects the other, supporting analysis of complex systems exposed to fluid forces.

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  Acoustic Simulation

  Model sound generation and propagation to evaluate acoustic performance, identify noise sources and understand how sound behaves within products, equipment and environments.

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  Multibody & Dynamic Systems Simulation

  Analyze motion, mechanisms, interacting components and dynamic loads to understand the behaviour and performance of complex mechanical systems during operation.

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  Multiphysics Simulation

  Combine structural, thermal, fluid, electromagnetic and other physical phenomena to evaluate complex systems where multiple physical effects interact.

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  Digital Twin & System Simulation

  Develop virtual representations of equipment, processes and systems to support testing, monitoring, performance analysis, optimization and informed operational decision-making.

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  Data-Driven & AI Modelling

  Combine operational and sensor data with machine learning, statistical analysis and predictive models to understand system behaviour, identify patterns and support forecasting.

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  Biomedical Simulation & Modelling

  Use engineering simulation to study biological systems, medical devices and physiological processes, including fluid flow, structural behaviour, transport phenomena and device performance.

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  Thermal & Moisture Simulation

  Model heat transfer, humidity, airflow, condensation and moisture behaviour to assess thermal bridges, insulation performance, surface conditions and moisture-related risks.

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  Flow & Multiphase Flow Simulation

  Model fluid flow and interactions between air, water, vapour, droplets or other phases, including pressure, heat transfer, evaporation, condensation and phase change.

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  Microgrid Simulation & Modelling

  Model interconnected generation, energy storage, electrical loads and grid connections to evaluate microgrid performance, operating strategies, reliability and overall system behaviour.

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  Renewable Energy Integration

  Model renewable and distributed energy resources to evaluate generation, variability, grid interaction and their integration within modern electrical energy systems.

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  RI-batteryenergystorage-georgiancollege-2026-09-24

  Simulate battery storage, charging and discharging behaviour, energy capacity and operating strategies to evaluate performance and improve energy management.

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  Power System & Distribution Modelling

  Model electrical distribution networks, loads, generation and power flows to evaluate system performance, capacity, reliability and infrastructure requirements.

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  EV Charging & Grid Impact Modelling

  Analyze electric vehicle charging loads and infrastructure to evaluate demand, peak loading, power quality and impacts on electrical distribution systems.

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  Power Quality & Harmonics Analysis

  Analyze harmonics, voltage behaviour and other power-quality characteristics to identify electrical disturbances and evaluate their effects on equipment and distribution systems.

Industry applications

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  Shock & Vibration

  Evaluate and optimize how generation, battery storage and electrical loads are coordinated to improve energy use, operating performance and grid interaction.

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  Fatigue, Durability & Reliability

  Assess repeated loading, lifecycle performance, degradation and failure risk to understand long-term reliability and improve the durability of products and systems.

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  Noise, Vibration & Harshness (NVH)

  Identify, analyze and reduce unwanted noise and vibration to improve product performance, equipment operation, user experience and overall system behaviour.

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  Manufacturing Process Simulation

  Model manufacturing processes and production environments to evaluate process behaviour, identify constraints and improve efficiency, productivity, quality and production system design.

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  Design Optimization & Virtual Prototyping

  Compare design alternatives, evaluate performance and optimize concepts virtually to reduce development risk before committing to physical prototypes, testing or production.

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  Virtual Commissioning & Controls

  Test automation logic, control strategies and equipment behaviour in a virtual environment before physical implementation, installation or commissioning of industrial systems.

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  Energy Systems & Power Distribution

  Model electrical generation, distribution, loads and energy infrastructure to evaluate power flow, system performance, capacity, reliability and operating conditions.

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  Thermal Management

  Evaluate heat generation, cooling, temperature distribution and heat dissipation to improve thermal performance, reliability and efficiency of components, equipment and systems.

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  Flow & Aerodynamic Performance

  Analyze airflow, fluid transport, pressure, turbulence and related flow characteristics to evaluate and improve aerodynamic or fluid-system performance.

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  Impact & Crash Analysis

  Simulate collision and impact events to evaluate structural response, deformation, energy absorption and protective performance under high-force or sudden loading conditions.

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  Structural Integrity & Safety

  Evaluate load capacity, structural response, deformation and failure behaviour to support the safe and reliable design of components, equipment and structures.

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  Seismic Assessment

  Analyze how structures, equipment and components respond to seismic loading and vibration to evaluate stability, structural performance and potential failure risks.

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  Predictive Maintenance & Condition Monitoring

  Combine simulation, sensor information and data-driven models to assess equipment condition, identify degradation and support prediction of maintenance needs or potential failures.

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  Design Optimization & Virtual Prototyping

  Compare design alternatives, evaluate performance and optimize concepts virtually to reduce development risk before committing to physical prototypes, testing or production.

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  Industrial Digital Twins

  Create virtual representations of machines, equipment and production systems to support monitoring, testing, optimization, performance analysis and operational decision-making.

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  RI-biomedicalproductdesignsimulation-georgiancollege-2026-09-24Biomedical Product Design & Development

  Design, prototype and test medical and healthcare-related products using engineering design, material selection, manufacturing methods, ergonomic evaluation and performance testing.

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  Product Design & Advanced Manufacturing

  Develop products from concept through engineering design, prototyping and manufacturing using CAD, material selection, design optimization, additive manufacturing and performance testing.

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  Microgrid Energy Management

  Evaluate and optimize how generation, battery storage and electrical loads are coordinated to improve energy use, operating performance and grid interaction.

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  Grid-Connected & Islanded Operation

  Evaluate microgrid behaviour under grid-connected and independent operating conditions to support system reliability, resilience and appropriate control strategies.

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  Peak Demand & Load Management

  Model electrical demand and load profiles to identify peak conditions and evaluate strategies for load shifting, demand reduction and energy optimization.

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  Distributed Energy Resource Integration

  Evaluate how solar generation, energy storage, EV charging and other distributed energy resources interact within microgrids and electrical distribution systems.

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  Energy Resilience & Reliability

  Evaluate system response to outages, changing loads and generation availability to support more resilient and reliable electrical energy systems.

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  Microgrid Control Strategy Testing

  Develop and evaluate control strategies for coordinating generation, storage, loads and grid connections within simulated or physical microgrid environments.

The Centre for Industrial Simulation and Prototyping will address the unique needs of Central Ontario’s manufacturing sector, which is growing at over twice the provincial and national rates.

Serving over 4,000 regional manufacturers, the centre will drive innovation through Industry 5.0 technologies like AI, IoT, and digital twins, enabling businesses to adopt sustainable, human-centred, and efficient processes critical for global competitiveness. 

Small and medium-sized enterprises (SMEs) will benefit from access to state-of-the-art tools, expertise and training, helping them overcome barriers like high costs and skills shortages. By fostering strong collaborations with regional partners and organizations, the centre will create a robust innovation ecosystem, supporting mentorship, funding opportunities and commercialization pathways. 

With a focus on sustainability and workforce development, the centre will promote eco-friendly practices, resource efficiency, and advanced skills training, solidifying Central Ontario’s position as a leader in advanced manufacturing and Industry 5.0 adoption. 

Empowering the next generation of innovators 

Student training is at the heart of the centre’s mission to support innovation and drive research excellence. By immersing students in real-world applied research projects, the centre provides unparalleled opportunities to develop critical problem-solving, leadership and collaboration skills. Over five years, 100 students will gain hands-on experience working with cutting-edge technologies like digital twins, AI, and collaborative robotics, preparing them to meet the demands of Industry 5.0. 

Aligned with Georgian’s mechatronics, mechanical, electrical, and computer studies programs, the centre offers a seamless pathway for students to transition from academic learning to practical applications. Through their involvement in industry-led projects, students will gain valuable exposure to innovation cycles, project management, and professional networking opportunities, equipping them for leadership roles in the advanced manufacturing sector. 

Building an inclusive and equitable learning environment 

The centre is dedicated to building a welcoming, fair and accessible environment where all students can succeed. Through targeted recruitment, it actively engages equity-deserving groups via Georgian’s Equity, Diversity, Inclusion & Belonging (EDI&B) department, Indigenous Resource Centre, and International Centre. Transparent selection processes and fair evaluation criteria ensure opportunities are available to candidates from all backgrounds. 

Team members receive EDI&B training and immersive empathy exercises, such as VR-based modules, to foster understanding and allyship. Advanced technologies, like AR glasses, are used to create workspaces tailored for individuals with disabilities or neurodivergent traits, reducing barriers to participation. 

By embedding inclusivity into every aspect of its operations, from mentorship to continuous feedback and improvement, the centre ensures students from diverse backgrounds gain equitable access to valuable learning and career opportunities. 

The Centre for Industrial Simulation and Prototyping is built on a foundation of strategic planning, experienced leadership and alignment with Georgian College’s Strategic Plan and Vision 2030. With a skilled research team specializing in advanced manufacturing, mechanical simulation and electronics, the centre ensures high-quality service delivery and impactful applied research projects. 

By integrating student and faculty engagement, the centre offers immersive learning opportunities that align with Industry 5.0 technologies, preparing a future-ready workforce while advancing regional innovation. Its four-tier service model (insight, conceptualization, build and mastery) provides tailored support for client organizations, from initial consultations to advanced training, ensuring scalable and accessible solutions. 

Supported by Georgian’s funding and resources, the centre fosters sustainable partnerships and reduces barriers to technology adoption for regional manufacturers. This cohesive approach ensures the centre plays a pivotal role in driving innovation, enhancing competitiveness, and shaping the future of advanced manufacturing in Central Ontario.

Georgian’s proven research expertise and track record in innovation position the Centre for Industrial Simulation and Prototyping as a hub for investment and growth. With over $20 million in government and industry funding secured since 2016, Georgian has consistently delivered impactful applied research projects. Between 2019 and 2023 alone, the Research and Innovation department engaged in 140 advanced manufacturing and digitalization projects with over 50 industry partners, demonstrating its ability to foster meaningful collaborations and deliver results. 

The centre builds on Georgian’s established strengths in areas like Industry 5.0 technologies, digital twins, robotics, and advanced data analytics. Its state-of-the-art facilities, including a rapid prototyping lab, microgrid, and mechatronics lab, provide clients with access to cutting-edge tools and technologies. The research team’s deep expertise in mechanical and electrical engineering, industrial simulation, and smart manufacturing ensures high-quality service delivery and innovative solutions. 

This foundation of excellence and readiness will attract investment by offering clients confidence in the centre’s ability to de-risk technology adoption, accelerate innovation, and drive economic impact. With strong partnerships, a proven cost-recovery model, and a focus on sustainability, the centre is poised to generate sustainable revenue while contributing to the region’s growing manufacturing sector.