Simulation, design, and computational solutions for engineering challenges.
CAD & Mechanical Design
Custom mechanical design, 3D modeling, and prototyping for complex engineering projects.
CFD & FEA Analysis
High-precision computational fluid dynamics and finite element analysis for product optimization.
Algorithm & Simulation Development
Custom algorithms and simulations for engineering systems, automation, and process control.
Portfolio
Click on a Project to Learn More
Carleton Flight Simulator Project
Algorithmic Development and Integration
Osteoporosis Microfluidic Device Design
Microfluidic Channel & Scaffold Development
Carotid Artery Stenosis Simulation
ANSYS CFX Modeling and Simulation
HVAC System Optimization
Energy Audit and Efficiency Simulation
Obstructive Sleep Apnea (OSA) Mask Design
Medical Device for Upper Airway Patency
Pop-Can Crusher Design and Optimization
Reverse Engineering and Manufacturing Process
About Me
Simulation & Computational Engineering Consultant
I’m Zoltan Marton, a Simulation & Computational Engineering Consultant specializing in
CFD, FEA, CAD modeling, algorithm development, and high-precision engineering simulations.
With experience across mechanical, biomedical, and aerospace engineering projects, I support teams in improving
product performance, reducing development time, and making data-driven design decisions.
I build advanced simulation models using Python, MATLAB, and ANSYS, and implement
computational workflows to tackle complex engineering challenges efficiently. My mission is to deliver precise,
reliable, and actionable simulation results tailored to your project needs.
Let’s work together to turn complex engineering challenges into optimized solutions.
Contact Us
Get in touch with us directly via email.
Carleton Flight Simulator Project
Developed and integrated real-time washout algorithms for the Carleton University Simulator Project (CUSP) using NI LabVIEW and MATLAB. Contributed to control system enhancements for the Atlas flight simulator by modeling flight dynamics and designing strategy-based control algorithms to simulate realistic aircraft motion for pilot training.
Key contributions included:
Implemented and optimized washout algorithms to accurately replicate motion responses during advanced flight scenarios.
Integrated software algorithms with simulator hardware to increase realism and immersion for pilot training.
Performed detailed testing and validation to assess system accuracy, stability, and reliability under different simulation conditions.
Collaborated with engineering team members using BitBucket for version control, code reviews, and adherence to project standards.
Outcome: Enabled higher simulation realism, supporting pilot skill development and operational preparedness in advanced training environments.
Designed a microfluidic device to replicate osteoporotic bone tissue, enabling research on mechanical and biochemical factors influencing bone regeneration using AutoCAD and ANSYS simulations.
Key contributions included:
Designed the channel layout and features for the microfluidic device, ensuring precise replication of bone tissue conditions affected by osteoporosis.
Specified the material selection criteria for the scaffolding component, balancing biocompatibility, mechanical stability, and cost-effectiveness, selecting polycaprolactone (PCL) for the scaffold and polydimethylsiloxane (PDMS) for channels.
Analyzed design constraints, address potential risks, and optimize the overall functionality and performance of the microfluidic platform.
Incorporated surface modifications such as collagen coating and laser ablation for enhanced cell adhesion, along with biocompatibility considerations and sterilization protocols.
Outcome: Created a functional microfluidic platform to simulate osteoporosis-affected bone tissue, enabling further experimentation on proteins and hormones like IGF-1 and GLAST for potential advancements in osteoporosis treatment and bone regeneration research.
Utilized ANSYS CFX to model realistic dimensions of healthy and stenosed carotid arteries, simulating fluid flow to analyze pressure, total pressure, and velocity distributions, providing insights into the impact of stenosis on blood flow dynamics.
Key contributions included:
Modeled healthy and unhealthy carotid arteries using Fusion 360 with accurate dimensions from research (CCA: 6.52 mm, ICA: 4.66 mm, ECA: 4.2 mm), incorporating a narrowed passage of 2.6 mm in the stenosed model.
Set up mesh generation with refined parameters (element size: 0.0008 m, maximum size: 0.002 m, inflation layers: 5) and boundary conditions, including inlet mass flow rate of 0.007209 kg/s and outlet static pressure of 116.2 mm Hg.
Configured simulation setup in ANSYS Workbench, selecting water as the fluid, no heat transfer, and shear stress turbulence model for accurate fluid flow representation.
Interpreted contour plots of pressure, total pressure, and velocity to identify increased pressure (up to 1.555 × 10^4 Pa) and velocity (up to 48.2 m/s) in the stenosed region compared to the healthy artery.
Outcome: Successfully demonstrated through simulations how carotid artery stenosis leads to elevated pressure and accelerated blood flow in narrowed regions, highlighting risks such as stroke and validating ANSYS as a tool for accurate hemodynamic analysis.
Conducted a comprehensive energy audit and utilized ANSYS and MATLAB to model and simulate HVAC system performance, identifying opportunities for optimization to reduce energy consumption, operational costs, and environmental impact.
Key contributions included:
Performed an in-depth energy audit of the existing HVAC system, evaluating baseline energy usage, peak load demands, operational inefficiencies, and carbon footprint using data logging and metering tools.
Developed detailed models of the HVAC system in ANSYS Fluent for computational fluid dynamics (CFD) simulations, analyzing airflow patterns, heat transfer, and ventilation efficiency in various scenarios such as summer cooling and winter heating.
Integrated MATLAB for predictive algorithms and control system simulations, optimizing variable air volume (VAV) systems and temperature setpoints under different operating conditions like occupancy levels and external weather variations.
Proposed modifications including upgraded insulation, variable speed drives for fans and pumps, and smart thermostats; calculated potential energy savings (estimated 20-30%) and return on investment (ROI) for each using MATLAB scripts and Excel-based financial models.
Assessed environmental impact reductions, such as lowered CO2 emissions, and ensured compliance with energy standards like ASHRAE guidelines through iterative simulations.
Outcome: Identified actionable optimizations leading to projected annual energy savings of up to 25%, with ROIs ranging from 2-5 years, promoting sustainable building operations and providing a scalable framework for future HVAC retrofits.
Designed a medical mask device to treat Obstructive Sleep Apnea (OSA), a common sleep disorder involving upper airway obstruction, by maintaining airway patency through optimized airflow, comfort, durability, and portability using AutoCAD and ANSYS simulations.
Key contributions included:
Developed design inputs focused on maintaining airway patency with airflow rates of 4-20 L/min, incorporating adjustable features like nasal pillows and advanced airflow management to prevent apnea episodes.
Prioritized patient comfort by using soft, hypoallergenic materials such as medical-grade silicone and silastic gel, with mask dimensions tailored to average facial sizes (120-140 mm vertical, 110-150 mm horizontal) and ergonomic elements to reduce pressure points.
Ensured durability through material selection like Lexan polycarbonate, meeting bending stress requirements of 100-300 MPa, and conducted testing under real-world conditions to validate structural integrity.
Optimized portability with a lightweight design (50-200 g target, achieved 187 g) and compact features for easy travel and storage, adhering to standards like ASTM F2100 for material performance.
Outcome: Created a functional OSA mask device that exceeds airflow requirements (up to 67.2 L/min), fits comfortably on average facial anatomy, withstands daily stresses, and supports patient adherence, potentially advancing treatment options alongside therapies like CPAP, ASV, EPAP, and upper airway stimulation.
Led the design and optimization of a pop-can crusher through reverse engineering, utilizing CAD and CAM software to enhance functionality, assembly, and machining processes while adhering to ASME standards.
Key contributions included:
Conducted systematic visual inspections, precise measurements, and disassembly of the pop-can crusher to gain a comprehensive understanding of the existing design.
Utilized CAD modeling to create accurate 3D representations, considering functionality, assembly, machining processes, and fit requirements for improved design reliability.
Maintained consistency in part dimensions using the ASME Y14.5M-1994 standard, enhancing ease of assembly and overall product quality.
Employed CAM software to import CAD models, define machining operations, generate tool paths, and optimize processes for accuracy and adherence to design specifications.
Outcome: Developed an optimized pop-can crusher design with enhanced manufacturing efficiency, precision, and reliability, facilitating improved production processes and potential cost reductions in fabrication.
