TechXEng

Engineering education can become disconnected from the behavior of real systems. Students may memorize formulas, reproduce procedures, and complete assignments without developing a clear mental model of the system being studied. TechXEng explores how technical understanding changes when engineering ideas are rebuilt from first principles, connected to physical behavior, and communicated publicly.

• Memorizing a formula does not guarantee system understanding
• Engineering concepts often remain isolated from their physical meaning
• Design assumptions become visible only when something is built
• Public explanation exposes gaps that private familiarity can hide
• Complex projects must progress despite incomplete knowledge

I created TechXEng as a public engineering platform containing technical explanations, systems-thinking frameworks, engineering videos, website resources, and a long-running robotic-hand development series.

• Public engineering website
• Engineering-focused YouTube channel
• Robotic-hand design and development series
• SolidWorks learning and CAD documentation
• Systems-thinking explanations
• Technical scripts, videos, thumbnails, and publishing workflows
• Project playlists and structured learning paths
• Public documentation of mistakes and progress

TechXEng approaches engineering as the study of interacting systems rather than isolated equations. Each project begins by identifying the system, inputs, governing interactions, outputs, assumptions, constraints, and uncertainties.

• Define the physical system before selecting equations
• Separate inputs from governing interactions
• Connect mathematical models to physical behavior
• Make assumptions and constraints explicit
• Treat uncertainty as part of the design process
• Use failures to revise the original system model

The SIGNAL framework emerged from TechXEng as a reusable method for analyzing technical systems. It helps organize a system before solving or designing it. SIGNAL is used to move from an undefined technical problem toward a structured model. It does not replace detailed engineering analysis; it clarifies what must be understood before that analysis becomes meaningful.

• S — System
• I — Inputs
• G — Governing Interactions
• N — Outputs
• A — Assumptions and Constraints
• L — Latent Uncertainty

The robotic-hand series is the primary long-term engineering project within TechXEng. I began with limited experience in robotics and SolidWorks and chose to document the complete process rather than presenting only a polished final result.

• Study the mechanical structure of the human hand
• Design an initial robotic finger before expanding to five fingers
• Learn SolidWorks through the actual design problem
• Move from sketches to constrained parametric models
• Build links, joints, holes, and assembly relationships
• Later integrate Arduino, actuation, sensors, and control systems
• Document every major learning stage publicly

The early robotic-hand work focused on learning design intent rather than merely drawing shapes. The goal was to create models that remain valid when dimensions change.

• Moved from underdefined sketches to fully defined sketches
• Used centerlines and geometric relations
• Maintained hole position through dimensional changes
• Designed pin centers around geometric intent
• Tested dimensional changes from 100 millimeters to 150 millimeters
• Converted 2D sketches into 3D links
• Explored extrude and revolve operations
• Began planning assembly relationships for the finger

Every TechXEng project is also a communication exercise. I explain what I am learning, where I became confused, how the system is being modeled, and why a particular design decision was made.

• Technical video scripting
• Visual explanation of engineering concepts
• Public narration of design decisions
• Breaking complex systems into understandable stages
• Creating thumbnails, titles, and supporting descriptions
• Connecting engineering terminology to physical meaning
• Communicating uncertainty without pretending the system is complete

The channel contains both foundational systems-thinking videos and project-based engineering episodes.

• What Is a System?
• The Hidden System Behind XYZ Coordinates
• Particle versus Rigid Body
• Normal, Tangential, and Binormal Coordinates
• Can I Build a Human-Like Robotic Hand?
• SolidWorks sketching and design intent
• Creating the First Robotic-Hand Link
• Moving from 2D sketches to 3D components

The project intentionally preserves mistakes because they reveal the difference between recognizing a tool and understanding how to use it within an engineering system.

• Sketches initially remained underdefined
• Dimensions changed without preserving design intent
• Mechanical relationships were unclear before system decomposition
• The robotic-hand geometry became more complex than expected
• A finger assembly accidentally resembled a cobra
• Software and CAD tools required learning through repeated failure
• The project scope had to be reduced from a complete hand to one finger first

Several important decisions reduced complexity and made the project more manageable.

• Build one finger before designing the complete hand
• Learn SolidWorks through the real project rather than isolated tutorials
• Use parametric constraints instead of fixed visual placement
• Treat pin centers as geometric relationships
• Document progress before expertise is complete
• Follow the path from CAD to Arduino to control systems
• Create three exercises per learning section, with the final exercise becoming a public video

TechXEng is an active public engineering lab. The current major project is the robotic-hand series, with work progressing from SolidWorks fundamentals toward mechanical assemblies, electronics, actuation, and control.

• Engineering website is active
• YouTube channel is active
• Foundational systems videos are published
• Robotic-hand episodes are in development
• Initial finger-link CAD work is complete
• Assembly and actuation remain in progress
• Arduino and control-system integration are future stages
• The project continues alongside mechanical engineering coursework

TechXEng contains public evidence of engineering work in the form of videos, CAD models, system explanations, design decisions, version history, and project progression.

• Public website at techxeng.com
• Engineering YouTube channel
• Robotic-hand project playlist
• SolidWorks sketches and three-dimensional models
• Documented design constraints
• Published systems-thinking explanations
• Public progression from confusion to working models
• Ongoing mechanical and robotics roadmap

TechXEng demonstrates my ability to learn engineering tools through real projects, reason about physical systems, document incomplete work honestly, and communicate technical ideas to a public audience.

• Mechanical-system reasoning
• CAD and parametric modeling
• Design intent
• Robotics fundamentals
• Project decomposition
• Iterative prototyping
• Technical communication
• Independent learning
• Public documentation
• Systems thinking
• Persistence through uncertainty

The robotic-hand project continues to generate deeper mechanical, electrical, and control questions.

• What joint geometry best approximates human finger movement?
• How should tendon or cable actuation be routed?
• What material and dimensions provide sufficient strength without excess weight?
• How should joint limits be modeled?
• How many actuators are necessary?
• What sensors are needed for position and force feedback?
• How should finger motion be controlled?
• What level of mechanical understanding is sufficient before building the first physical prototype?