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Research

Engineering research,
built to leave the page.

As a mechanical engineer, technology education researcher, and engineering systems developer, my research sits across mechanical engineering, technology education, and intelligent systems — asked in a way that’s meant to be tested, built, and used, not just written up.

Smart factory floor with CNC machines overlaid by live production, sensor, and predictive-maintenance dashboards

Research → Applied Systems

FIG. 01
01Research Philosophy

Why these four threads stay connected

Mechanical engineering supplies physical judgment. Technology education transfers that judgment to someone else. Intelligent systems extend it into continuous operation. None of the three counts as finished until practical application proves it — in a real system, or a real classroom.

01

Mechanical Engineering

02

Technology Education

03

Intelligent Systems

04

Practical Application

Physical judgment under real load and wear.

Working Principle“Knowledge becomes useful when it survives application.”

02Research Areas

Where the research currently concentrates

Six connected areas around one working hub. Hover or focus a card to trace it on the map.

  • AI-Based Predictive Maintenance

    Applying data-driven and AI-based methods to monitor equipment condition and support maintenance decisions.

  • CNC Automation & Manufacturing Education

    Python-driven CNC automation and G-code workflows that connect manufacturing practice with how it's taught.

  • Maintenance and Reliability

    Keeping equipment running safely and predictably across its working lifecycle.

  • Intelligent Engineering Systems

    Sensing, automation, and system integration that extend mechanical judgment into continuous operation.

  • Technology Education & Practical Learning

    How technical and engineering concepts are taught, practiced, and retained — not just explained.

  • Energy and Thermodynamic Systems

    Thermodynamic optimization of energy systems, including working-fluid selection and heat-recovery configuration.

03Featured Research

Current research, in detail

Framed by the problem, the purpose, and how each thread is actually being worked — not by results that aren't there yet.

Engineer working on a wiring harness test rig in a lab setting
01Ongoing

AI-Based Predictive Maintenance for CNC Machine Tools

Problem
Unplanned failures and reactive maintenance on CNC machine tools are costly and disruptive to production.
Purpose
To explore whether data-driven, AI-based methods can support earlier, more reliable maintenance decisions.
Methods
Condition monitoring, sensor data collection, and machine learning applied to equipment health indicators.
Application
Industrial maintenance planning and CNC machine reliability.
View Case Study
Close-up of a CNC milling machine drill bit positioned above a metal workpiece
02Ongoing

Python-Based CNC Automation Learning System

Problem
CNC and G-code concepts are often taught abstractly, disconnected from hands-on practice.
Purpose
To build a Python-driven system that makes CNC automation and G-code workflows more accessible to learn.
Methods
Python development, G-code generation and automation, and applied testing against real CNC workflows.
Application
Technology education and CNC manufacturing training.
View Case Study
Industrial energy system equipment related to Organic Rankine Cycle research
03Early-Stage / Conceptual

Low-Enthalpy Geothermal ORC Optimization

Problem
Low-enthalpy geothermal resources are harder to convert efficiently into usable energy than high-temperature sources.
Purpose
To investigate thermodynamic optimization for Organic Rankine Cycle systems operating on low-enthalpy sources.
Methods
Thermodynamic analysis and simulation of working-fluid selection and heat-recovery configuration.
Application
Industrial and renewable energy systems using low-enthalpy heat sources.
View in Expertise
Three engineers, including an apprentice programme participant, gathered around a laptop while reviewing test data next to a wiring harness and robotics rig in a lab
04Ongoing

Technology Education & Engineering Learning Systems

Problem
Technical and engineering concepts are often taught in ways that don't transfer well into practical, hands-on ability.
Purpose
To study how engineering knowledge is best taught, and to build tools that make it genuinely usable, not just explainable.
Methods
Curriculum design, applied pedagogy, and educational evaluation, tested against real workshop and classroom contexts.
Application
Engineering curricula, workshop-based training, and digital learning tools.
View in About
04Research Methodology

The same disciplined path, every time

Whichever area a question starts in, it moves through the same seven stages before it counts as research rather than a hunch.

  1. 01

    Problem Identification

    Finding the real, present question worth asking

  2. 02

    Literature & Context Review

    Checking what's already known before assuming it isn't

  3. 03

    Research Design

    Choosing the methods the question actually calls for

  4. 04

    Data or System Development

    Building the tool, model, or dataset the work needs

  5. 05

    Testing & Evaluation

    Checking the work against real conditions, not assumptions

  6. 06

    Interpretation

    Working out what the results actually mean

  7. 07

    Practical Application

    Carrying it into a real system or teaching context

05Research-to-System Pathway

Not every thread stays at the prototype stage

A question doesn't have to stop at a prototype. It can move all the way through to a working, applied system — some threads move faster than others.

Where current research sits on this path

  • AI-Based Predictive MaintenancePrototype
  • Python CNC Automation Learning SystemPrototype
  • Low-Enthalpy Geothermal ORC OptimizationConcept

Not every thread stays at Concept or Prototype — BushLite WiFi is an example of engineering systems work from this practice that has moved all the way through to Application and Continuous Improvement.

06Methods & Tools

What the research is actually built with

Grouped by what they're used for — asking a question, or building and proving the answer.

Research Methods

How a question gets asked and checked

Literature ReviewQuantitative AnalysisQualitative InquiryExperimental DesignEducational Evaluation

Engineering & Systems Methods

How an answer gets built and proven

SimulationPython DevelopmentMachine LearningCondition MonitoringSystem IntegrationTesting
07Publications & Presentations

Where formal outputs will live

Journal Articles

None published yet

Conference Papers

None published yet

Presentations

None published yet

Technical Reports

None published yet

Research Outputs

None published yet

Research outputs and publications will be added as they become available.

08Collaboration Opportunities

Ways to work on this together

  • University Collaboration

    Joint work with academic researchers and departments.

  • Industrial Research

    Applying research to a real production or maintenance problem.

  • Technology Education Studies

    Studying how technical concepts are taught and learned.

  • Engineering System Development

    Building the software or hardware a research question needs.

  • Data & Prototype Partnerships

    Sharing data, equipment access, or early-stage prototypes.

09Related Projects

Where this research meets the field

Engineer working on a wiring harness test rig in a lab setting
01Ongoing

AI Predictive Maintenance

Applying artificial intelligence and data-driven methods to monitor equipment condition and support maintenance decision-making.

View Case Study
Close-up of a CNC milling machine drill bit positioned above a metal workpiece
02Ongoing

Python CNC Automation

Exploring Python-driven CNC automation and G-code workflows to strengthen practical, hands-on engineering learning.

View Case Study
Industrial energy system equipment related to Organic Rankine Cycle research
03Early-Stage / Conceptual

Geothermal ORC Optimization

Thermodynamic optimization of energy systems, including working-fluid selection and heat-recovery configuration for industrial applications.

View in Expertise
10For Visitors Seeking Digital Services

Looking for a commercial website, business system, or general digital service rather than engineering research? That’s handled separately, through HarunLucas Dev.

Visit HarunLucas Dev
Open to Research Conversations

Let’s talk about the research

If a question you're working on overlaps with any of this, I'd like to hear about it.

Research CollaborationUniversity PartnershipsIndustrial ResearchData & Prototype Partnerships
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