Mechanical Design: Mechanical Design

Hamilton By Design offer a range of effective mechanical design services through MCAD (Mechanical Computer Aided Design) Drafting and 3D Solid Modelling tools.

We have the ability to provide a complete mechanical detailed drafting which includes a three dimensional modelling design and virtual validation service, which allows our clients focus in other aspects of the project or clients as Hamilton By Design can manage Mechanical design and virtual testing.

Outsourcing your mechanical design projects to Hamilton By Design offers cash flow freedom and the relief from the cost and issues of employing full-time employees.

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Mechanical Design Reimagined: From 3D Modelling to Digital Twin with Point Cloud Scanning

In mechanical engineering, design is no longer just drafting lines and dimensions — it's about building digital proof before physical creation. At Hamilton By Design, we provide more than MCAD drafting or 3D models: we deliver integrated mechanical design solutions, combining parametric modelling, 3D point cloud scanning, and the digital twin paradigm to give clients confidence that their systems will perform exactly as intended.

Below, we explore how modern mechanical design blends these technologies, why they matter, and how they transform your projects from concept to reality.

From Your Original Vision

Your original post introduced the value of offering “a complete mechanical detailed drafting” service, including 3D modelling and virtual validation. The appeal was clear: clients can offload design burden, maintain cash flow flexibility, and rely on your team’s design rigor.

But as engineering tools evolve, so must the delivery. Today, the most powerful design services do more than 3D modelling — they reconcile ideal design with real-world geometry, validate performance with simulation, and establish a living digital representation (a digital twin) of each mechanical system.

That’s the direction we’ve taken at Hamilton By Design. Let me walk you through how we now build those capabilities into our mechanical design offering.

Why 3D Modelling Still Matters (But Alone Isn’t Enough)

3D modelling remains the bedrock of modern mechanical design. When done well:

models carry design intent: constraints, relations, dimensions, parametric logic
design changes ripple properly across parts and assemblies
visual clarity improves communication with stakeholders
geometry becomes a source model for simulation, fabrication, and licensing

However, traditional modelling alone assumes perfect geometry and ideal conditions. Without connection to actual conditions — such as structural drift, wear, or changes in surrounding assets — even a beautifully parametric model can fail when installed.

That’s why we fuse 3D modelling with reality capture, creating a stronger, more trustworthy design foundation.

Capturing Reality: 3D Point Cloud / LiDAR Scanning

Imagine stepping into a plant full of legacy structures, corrosion, misalignment, and unknown modifications. You need to design a new frame, chute, or support that fits exactly into that environment. Relying on old drawings or rough measurements is risky.

We use 3D scanning — LiDAR, structured light, or laser scanners — to capture millions of spatial points across surfaces and structure. The result is a point cloud: a raw geometric representation of everything in the scanned scene.

From that, our engineers:

register multiple scans into a unified coordinate system
filter noise and eliminate outliers
segment surfaces, planes, cylinders, and curves
extract reference geometry (surfaces, lofts, features) for modelling

The scan becomes your digital “shell” — the physical baseline onto which design is overlaid.

Building the Model: Parametric Design on Reality

Once we have that scanned reference, we launch into parametric modelling in tools like SolidWorks, Inventor, or AutoCAD 3D. But now the modelling is anchored to physical truth, not guesswork.

Key aspects of our modelling approach:

Hybrid modelling: We mix direct features with surface reconstruction derived from point clouds
Constraint-driven parametrics: Features are built with relations and dimensions that respond intelligently to change
Assembly referencing: New parts and structure are mated to the scanned geometry, ensuring fit and alignment
Metadata embedding: Material properties, tolerance values, finish constraints, and relationship logic are built into models
Versioning & change tracking: Geometry evolves with project phases, preserving history and traceability

Because the model is spatially accurate, we minimize clashes, misalignments, and geometry surprises during fabrication or installation.

Simulation & Digital Twin: Beyond Design Validation

Designing a model is step one. Validating that it will survive real loads, environments, and aging is the next. That’s where digital twin and simulation come in.

Simulation (FEA & dynamics)

From the parametric model, we run structural analyses:

Static stress/deflection to verify that members, welds, and plates stay within safe limits
Modal analysis to detect natural frequencies and avoid resonance
Buckling checks for slender compression elements
Thermal or thermo-mechanical analysis if temperature gradients are present
Fatigue or life prediction for cyclical loading systems

Because our model is already tied to reality via scanned geometry, boundary conditions, interfaces, and supports are more accurate — simulation is more meaningful, not guesswork.

Digital Twin

The term “digital twin” describes a living digital representation of a physical system — updated, monitored, and evolving. At Hamilton By Design, we lay the foundation for that twin:

The scanned geometry plus parametric model become the digital baseline
Sensor inputs, performance data, and inspection scan updates can feed into the model
Over time, wear, deformation, or drift captured via repeated scans can calibrate the model
The twin becomes a tool for predictive maintenance, retrofit planning, and operational decisions

So your mechanical design is not just a static deliverable — it becomes an asset throughout the lifecycle.

Example Workflow in Practice

Let me walk through a hypothetical structural mechanical project to illustrate how this all comes together.

Client need: Retrofit a new support frame and bracket for a conveyor section inside an existing plant, where many walls, beams, and equipment exist.

Workflow:

Scan site with LiDAR, capturing existing beams, structure, floor, surrounding equipment.
Process point cloud and segment features (floors, beams, walls).
Extract geometry—planes and surfaces that act as references in model space.
Build parametric model in SolidWorks: beams, gussets, adapters, base plates, mated to the scanned surfaces.
Run static and clearance checks: simulate load on the new frame, check for interference with scanner-derived geometry.
Adjust parameters (member size, plate thickness, bolt spacing) to optimize weight and strength.
Deliver drawings, fabrication files, and digital twin baseline.
Post-install scan to verify geometry alignment and update twin.

Because new frame design is grounded in the scan, the installation matches the model — minimal field modification, minimal surprises.

Challenges & Best Practices

Any advanced workflow has pitfalls. Here’s how we mitigate them:

Noisy scans — use filters, segmentation tools, and multiple passes to clean data
Missing surfaces / occlusions — supplement scanning with targeted measurements
Overcomplex models — simplify features, use region-of-interest modelling
Tolerance alignment — fit new parts with clearance allowances and tolerance bands, not rigid matches
CAD performance — separate reference geometry, lightweight mode, use selective visibility

Always remember: the goal is effective, accurate engineering — not perfect point clouds or hyper-detail.

Why This Approach Sets Us Apart

By integrating 3D modelling, scanning, and digital twin capability, Hamilton By Design delivers structural mechanical design with measurable advantages:

Reduced onsite rework: First-time fit confidence saves weeks of corrections
Faster design cycles: no guesswork, fewer iterations
Greater trust with stakeholders: visual, reality-anchored models help communicate and get approval
Future-ready infrastructure: models evolve as your plant changes, supporting upgrades and maintenance
Lifecycle value: your design asset transitions into an operational tool, not a static drawing

In short: we deliver not "just a design" — but engineered assurance.

Taking the Next Step: Reach Out to Hamilton By Design

If your business faces challenges converting legacy infrastructure, integrating new equipment, or retrofitting systems in tight or ambiguous environments — we can help.

Our services include: