In the 1980s, AutoCAD was revolutionary. It replaced drafting boards and sharpened pencils with a digital drawing tool. Architects, engineers, and designers suddenly had a new way to bring ideas to life — faster, cleaner, and more accurate than ever before.
But here’s the problem: it’s 2025 now, and AutoCAD is still trying to breathe the same thin air it did back then.
Stuck in 2D While the World Moved On
Today’s engineering isn’t about drawing — it’s about designing. It’s about simulating real-world forces, visualizing assemblies, testing tolerances, and producing manufacturable parts before a single prototype is built.
AutoCAD, at its core, is still a 2D drafting platform trying to wear a 3D mask. The workflows are fragmented, the feature set feels patched together, and it lacks the intelligence modern teams demand.
By contrast, SOLIDWORKS was built for this century — fully parametric, model-driven, and collaborative. When you make a change to a design in SOLIDWORKS, every part, drawing, and assembly updates instantly. That’s not an upgrade; that’s evolution.
Design Needs Intelligence, Not Layers
AutoCAD still asks you to think in layers and lines — the language of draftsmen. SOLIDWORKS speaks the language of relationships, assemblies, and constraints — the language of engineers and innovators.
Modern design tools must integrate simulation, visualization, and manufacturability. They must predict behavior, test fit, and optimize before production. AutoCAD just can’t breathe in that environment anymore — it’s stuck flipping between tabs while SOLIDWORKS users are already printing parts.
Collaboration and Data: The New Oxygen
The world doesn’t design in isolation anymore. Teams are global, deadlines are tighter, and innovation cycles are shorter. AutoCAD’s file-based approach is like passing blueprints across a fax machine.
SOLIDWORKS integrates cloud data management, real-time collaboration, and digital twin technology — letting design teams iterate and innovate in real time, anywhere in the world.
The Future Is 3D — and It’s Already Here
You wouldn’t build an electric vehicle using a typewriter. So why design modern products with 1980s software?
SOLIDWORKS represents the present and the future — intelligent modeling, simulation-driven design, and integrated manufacturing tools that push boundaries instead of tracing them.
Final Thoughts
AutoCAD made history — no one can deny that. But history belongs in the museum, not the manufacturing floor.
If your software is still gasping for air in a 2D world, maybe it’s time to give it a well-earned retirement. SOLIDWORKS doesn’t imitate innovation — it defines it.
At Hamilton By Design, we know that 3D scanning has become an essential tool for modern engineering — from capturing as-built conditions on construction sites to modeling complex processing plants and validating manufacturing layouts. But not all scanners are created equal, and selecting the right technology is crucial to getting reliable data and avoiding costly surprises later in the project.
3D Scanning for Construction Sites
For construction and infrastructure projects, coverage and speed are the top priorities. Terrestrial Laser Scanning (TLS) and LiDAR systems like the FARO Focus S70 are ideal for quickly capturing entire job sites with millimetre-level accuracy. These scanners allow engineers and project managers to:
Verify as-built conditions against design models
Detect clashes early in the process
Support accurate quantity take-offs and progress documentation
TLS works well in tough environments — dust, sunlight, and complex geometry — making it a perfect fit for active building sites.
3D Scanning for Manufacturing & Processing Plants
When it comes to manufacturing facilities and mining processing plants, accuracy and detail matter even more. Scans are often used for:
Retrofit planning and clash detection in tight plant rooms
Structural steel and conveyor alignment checks
Equipment layout for expansion projects
Here, combining TLS with feature-based CAD modeling allows us to deliver data that is usable for engineering design, ensuring that new equipment fits exactly as intended.
We’re Here to Help
Hamilton By Design doesn’t sell scanners — we focus on providing unbiased, engineering-driven advice. If you’re unsure which scanning approach is right for your project, we’re happy to share our experience and guide you toward the best solution.
Feel free to get in touch to discuss your project needs — whether it’s a construction site, manufacturing facility, or processing plant, we can help you turn accurate scan data into actionable engineering insights.
In modern mining, where uptime is money and safety is non-negotiable, understanding the geometry of your process plant is critical. Every conveyor, chute, pipe rack, and piece of equipment must fit together seamlessly and operate reliably — but plants are messy, dusty, and constantly changing. Manual measurement with a tape or total station is slow, risky, and often incomplete.
This is where LiDAR scanning (Light Detection and Ranging) has become a game-changer. By capturing millions of precise 3D points per second, LiDAR gives engineers, maintenance planners, and operators an exact digital replica of the plant — without climbing scaffolds or shutting down equipment. In this post, we’ll explore how mining companies are using LiDAR scanning to solve real problems in processing plants, improve safety, and unlock operational efficiency.
What Is LiDAR Scanning?
LiDAR is a remote sensing technology that measures distance by firing pulses of laser light and recording the time it takes for them to return. Modern terrestrial and mobile LiDAR scanners can:
Capture hundreds of thousands to millions of points per second
Reach tens to hundreds of meters, depending on the instrument
Achieve millimeter-to-centimeter accuracy
Work in GPS-denied environments, such as inside mills, tunnels, or enclosed plants (using SLAM — Simultaneous Localization and Mapping)
The output is a point cloud — a dense 3D dataset representing surfaces, equipment, and structures with stunning accuracy. This point cloud can be used as-is for measurements or converted into CAD models and digital twins.
Why Process Plants Are Perfect for LiDAR
Unlike greenfield mine sites, processing plants are some of the most geometry-rich and access-constrained areas on site. They contain:
Complex networks of pipes, conveyors, tanks, and structural steel
Moving equipment such as crushers, mills, and feeders
Dusty, noisy, and hazardous environments with limited safe access
All these factors make traditional surveying difficult — and sometimes dangerous. LiDAR enables “no-touch” measurement from safe vantage points, even during operation. Multiple scans can be stitched together to create a complete model without shutting down the plant.
Applications of LiDAR in Process Plants
1. Wear Measurement and Maintenance Planning
LiDAR has revolutionized how mines measure and predict wear on critical process equipment:
SAG and Ball Mill Liners – Portable laser scanners can capture the exact wear profile of liners. Comparing scans over time reveals wear rates, helping maintenance teams schedule relines with confidence and avoid premature failures.
Crusher Chambers – Scanning inside primary and secondary crushers is now faster and safer than manual inspections. The resulting 3D model allows engineers to assess liner life and optimize chamber profiles.
Chutes and Hoppers – Internal scans show where material buildup occurs, enabling targeted cleaning and redesign to prevent blockages.
Result: Reduced downtime, safer inspections, and better forecasting of maintenance budgets.
2. Retrofit and Expansion Projects
When modifying a plant — installing a new pump, rerouting a pipe, or adding an entire circuit — having an accurate “as-built” model is crucial.
As-Built Capture – LiDAR provides an exact snapshot of the existing plant layout, eliminating guesswork.
Clash Detection – Designers can overlay new equipment models onto the point cloud to detect interferences before anything is fabricated.
Shutdown Optimization – With accurate geometry, crews know exactly what to cut, weld, and install — reducing surprise field modifications and shortening shutdown durations.
3. Inventory and Material Flow Monitoring
LiDAR is not just for geometry — it’s also a powerful tool for tracking material:
Stockpile Volumetrics – Mounted scanners on stackers or at fixed points can monitor ore, concentrate, and product stockpiles in real time.
Conveyor Load Measurement – Stationary LiDAR above belts calculates volumetric flow, giving a direct measure of throughput without contact.
Blending Control – Accurate inventory data improves blending plans, ensuring consistent plant feed quality.
4. Safety and Risk Management
Perhaps the most valuable application of LiDAR is keeping people out of harm’s way:
Hazardous Floor Areas – When flooring or gratings fail, robots or drones with LiDAR payloads can enter the area and collect data remotely.
Fall-of-Ground Risk – High walls, bin drawpoints, and ore passes can be scanned for unstable rock or buildup.
Escape Route Validation – Scans verify clearances for egress ladders, walkways, and platforms.
Every scan effectively becomes a permanent digital record — a baseline for monitoring ongoing structural integrity.
5. Digital Twins and Advanced Analytics
A plant-wide LiDAR scan is the foundation of a digital twin — a living, data-rich 3D model connected to operational data:
Combine scans with SCADA, IoT, and maintenance systems
Visualize live process variables in context (flow rates, temperatures, vibrations)
Run “what-if” simulations for debottlenecking or energy optimization
As AI and simulation tools mature, the combination of geometric fidelity and operational data opens new possibilities for predictive maintenance and autonomous plant operations.
Emerging Opportunities
Looking forward, there are several promising areas for LiDAR in mining process plants:
Autonomous Scan Missions – Using quadruped robots (like Spot) or SLAM-enabled drones to perform routine scanning in high-risk zones.
Real-Time Change Detection – Continuous scanning of critical assets with alerts when deformation exceeds thresholds.
AI-Driven Point Cloud Analysis – Automatic object recognition (valves, flanges, motors) to speed up model creation and condition reporting.
Integrated Planning Dashboards – Combining LiDAR scans, work orders, and shutdown schedules in a single interactive 3D environment.
Best Practices for Implementing LiDAR
To maximize the value of LiDAR scanning, consider:
Define the Objective – Are you measuring wear, planning a retrofit, or building a digital twin? This affects scanner choice and resolution.
Plan Scan Positions – Minimize occlusions and shadow zones by preplanning vantage points.
Use Proper Registration – Tie scans to a control network for consistent alignment between surveys.
Mind the Environment – Dust, fog, and vibration can degrade data; choose scanners with appropriate filters or protective housings.
Invest in Processing Tools – The raw point cloud is only the start — software for meshing, modeling, and analysis is where value is extracted.
Train Your Team – Build internal capability for scanning, processing, and interpreting the results to avoid vendor bottlenecks.
LiDAR scanning is no longer a niche technology — it is rapidly becoming a standard tool for mining process plants that want to operate safely, efficiently, and with fewer surprises. From mill liners to stockpiles, from shutdown planning to digital twins, LiDAR provides a clear, measurable view of assets that was impossible a decade ago.
For operations teams under pressure to deliver more with less, the case is compelling: better data leads to better decisions. And in a high-stakes environment like mineral processing, better decisions translate directly to improved uptime, reduced costs, and safer workplaces.
The next time you’re planning a shutdown, a retrofit, or even just trying to understand why a chute is plugging, consider pointing a LiDAR scanner at the problem. You may be surprised at how much more you can see — and how much time and money you can save.
In today’s world, accuracy and efficiency can make or break a project. Whether you’re working in architecture, construction, engineering, or product design, you need reliable data — and you need it fast. That’s where 3D point clouds come in.
But there’s an important catch: not all scans are created equal. The difference between an average scan and a great one often comes down to the person behind the scanner. Having someone who understands 3D modeling take the scans can dramatically improve your project’s accuracy, reliability, and overall success.
Let’s break down why.
The Power of 3D Point Clouds
Point clouds are essentially millions of tiny data points that capture the shape of an object, room, or entire site. Together, they create a highly detailed digital snapshot of the real world.
Here’s why this matters:
Precision you can trust – Point clouds deliver incredibly detailed measurements, capturing even the smallest curves and angles.
Nothing gets missed – Multiple scan angles ensure a full, 360° view of your site or object.
Speed and efficiency – What used to take hours (or days) with manual measurements can be captured in minutes.
Built-in context – You’re not just getting numbers; you’re getting a complete digital environment to work inside.
Future-proof data – Once you have a scan, you have a permanent record of your space, ready to use months or years later.
From clash detection to as-built verification, point clouds save time, reduce errors, and make collaboration across teams smoother than ever.
Why the Person Taking the Scan Matters
While technology is powerful, experience is what makes the results reliable. Having a skilled 3D modeler operate the scanner can be the difference between a good project and a great one.
Here’s why an expert makes all the difference:
They know what matters – A modeler understands which details are critical for your project and ensures they’re captured.
Fewer gaps, fewer surprises – Experienced pros know how to plan scan positions to cover every angle and avoid blind spots.
Cleaner, more accurate data – They reduce common issues like noise, misalignment, or missing sections that can throw off your model.
Time saved, headaches avoided – No one wants to redo a scan halfway through a project. A professional ensures you get it right the first time.
Confidence from start to finish – When you know your model is accurate, you can move forward with design and construction decisions without second-guessing.
In short: a great scanner operator doesn’t just deliver data — they deliver peace of mind.
The Bottom Line
3D point clouds are already transforming how projects are planned and delivered. But pairing them with an experienced 3D modeler takes things to the next level.
You’ll get better data, faster turnarounds, and a far lower risk of costly mistakes. And when your goal is to deliver projects on time, on budget, and with zero surprises, that’s an edge you can’t afford to miss.
Getting Coal, Hard Rock, and ROM Material Flow Right
Chute design is one of the most critical yet challenging aspects of mining and mineral processing. Whether you are handling coal, hard rock ore, or raw ROM material, chutes and transfer stations are the unsung workhorses of every operation. When designed well, they guide material smoothly, minimise wear, and keep conveyors running. When designed poorly, they cause blockages, spillage, excessive dust, and expensive downtime.
Modern chute design has moved far beyond rules of thumb and back-of-the-envelope sketches. Today, successful projects rely on accurate as-built data, particle trajectory analysis, and advanced Discrete Element Method (DEM) simulation to predict, visualise, and optimise material flow before steel is cut. In this article, we explore why these tools have become essential, how they work together, and where software can — and cannot — replace engineering judgement.
The Challenge of Chute Design
Coal and hard rock have very different flow behaviours. Coal tends to be softer, generate more dust, and be prone to degradation, while hard rock is more abrasive and can damage chutes if impact angles are not controlled. ROM material adds another level of complexity — oversize lumps, fines, and moisture variation can cause hang-ups or uneven flow.
Chute design must balance several competing objectives:
Control the trajectory of incoming material to reduce impact and wear
Prevent blockages by maintaining flowability, even with wet or sticky ore
Manage dust and noise to meet environmental and workplace health requirements
Fit within existing plant space with minimal modification to conveyors and structures
Be maintainable — liners must be accessible and replaceable without excessive downtime
Meeting all these goals without accurate data and simulation is like trying to design in the dark.
Capturing the Truth with 3D Scanning
The first step in any successful chute project is to understand the as-built environment. In many operations, drawings are outdated, modifications have been made over the years, and the real plant geometry may differ from what is on paper. Manual measurement is slow, risky, and often incomplete.
This is where 3D laser scanning changes the game. Using tripod-mounted or mobile LiDAR scanners, engineers can capture the entire transfer station, conveyors, surrounding steelwork, and services in a matter of hours. The result is a dense point cloud with millimetre accuracy that reflects the true state of the plant.
From here, the point cloud is cleaned and converted into a 3D model. This ensures the new chute design will not clash with existing structures, and that all clearances are known. It also allows maintenance teams to plan safe access for liner change-outs and other work, as the scanned model can be navigated virtually to check reach and access envelopes.
Understanding Particle Trajectory
Once the physical environment is known, the next challenge is to understand the particle trajectory — the path that material takes as it leaves the head pulley or previous transfer point.
Trajectory depends on belt speed, material characteristics, and discharge angle. For coal, fine particles may spread wider than the coarse fraction, while for ROM ore, large lumps may follow a ballistic path that needs to be controlled to prevent impact damage.
Accurately modelling trajectory ensures that the material enters the chute in the right location and direction. This minimises impact forces, reducing wear on liners and avoiding the “splash” that creates spillage and dust. It also prevents the material from hitting obstructions or dead zones that could lead to build-up and blockages.
Modern software can plot the trajectory curve for different loading conditions, providing a starting point for chute geometry. This is a critical step — if the trajectory is wrong, the chute design will be fighting against the natural path of the material.
The Power of DEM Simulation
While trajectory gives a first approximation, real-world flow is far more complex. This is where Discrete Element Method (DEM) simulation comes into play. DEM models represent bulk material as thousands (or millions) of individual particles, each following the laws of motion and interacting with one another.
When a DEM simulation is run on a chute design:
You can visualise material flow in 3D, watching how particles accelerate, collide, and settle
Impact zones become clear, showing where liners will wear fastest
Areas of turbulence, dust generation, or segregation are identified
Build-up points and potential blockages are predicted
This allows engineers to experiment with chute geometry before fabrication. Angles can be changed, ledges removed, and flow-aiding features like hood and spoon profiles or rock-boxes optimised to achieve smooth, controlled flow.
For coal, DEM can help ensure material lands gently on the receiving belt, reducing degradation and dust. For hard rock, it can ensure that the energy of impact is directed onto replaceable wear liners rather than structural plate. For ROM ore, it can help prevent oversize lumps from wedging in critical locations.
🖥 Strengths and Limitations of Software
Modern DEM packages are powerful, but they are not magic. Software such as EDEM, Rocky DEM, or Altair’s tools can simulate a wide range of materials and geometries, but they rely on good input data and skilled interpretation.
Key strengths include:
Ability to model complex, 3D geometries and particle interactions
High visualisation power for communicating designs to stakeholders
Capability to run multiple scenarios (different feed rates, moisture contents, ore types) quickly
However, there are limitations:
Material calibration is critical. If the particle shape, friction, and cohesion parameters are wrong, the results will not match reality.
Computational cost can be high — detailed simulations of large chutes with millions of particles may take hours or days to run.
Engineering judgement is still needed. Software will not tell you the “best” design — it will only show how a proposed design behaves under given conditions.
That’s why DEM is best used as part of a holistic workflow that includes field data, trajectory analysis, and experienced design review.
From Model to Real-World Results
When the simulation results are validated and optimised, the design can be finalised. The point cloud model ensures the chute will fit in the available space, and the DEM results give confidence that it will perform as intended.
This means fabrication can proceed with fewer changes and less risk. During shutdown, installation goes smoothly, because clashes have already been resolved in the digital model. Once commissioned, the chute delivers predictable flow, less spillage, and longer liner life.
Why It Matters More Than Ever
Today’s mining operations face tighter production schedules, stricter environmental compliance, and increasing cost pressures. Downtime is expensive, and the margin for error is shrinking.
By combining 3D scanning, trajectory modelling, and DEM simulation, operations can move from reactive problem-solving to proactive improvement. Instead of waiting for blockages or failures, they can design out the problems before they occur, saving both time and money.
Partnering for Success
At Hamilton by Design, we specialise in turning raw site data into actionable insights. Our team uses advanced 3D scanning to capture your transfer stations with precision, builds accurate point clouds and CAD models, and runs calibrated DEM simulations to ensure your new chute design performs from day one.
Whether you’re working with coal, hard rock, or ROM ore, we help you deliver designs that fit first time, reduce maintenance headaches, and keep production running.
Contact us today to see how our integrated scanning and simulation workflow can make your next chute project safer, faster, and more reliable.
How 3D Laser Scanning is Redefining Reality for Design, Construction & Heritage
Imagine standing before a centuries-old cathedral, where every carved arch, every stained-glass pane, every weathered stone holds centuries of stories. Capturing its true form and condition with tape measure and camera? Tedious and prone to errors. But with 3D laser scanning, you can digitally freeze every detail—down to the imperfections—turning reality into an exact, manipulable model.
In an age where precision, speed, and data-driven decisions are non-negotiable, 3D laser scanning is no longer “nice to have”—it’s essential. Let’s explore what it is, why it’s transformative, where it’s being used most powerfully, and how you can harness its potential.
What Is 3D Laser Scanning?
At its core, 3D laser scanning sometimes called terrestrial laser scanning, (TLS) is the emission of laser pulses toward surfaces, recording the time it takes for those pulses to bounce back. From that comes a dense “point cloud” — billions of precise data points mapping shape, texture, orientation, and distance.
These point clouds become high-fidelity models, maps, meshes, or BIM ready files. Whether you’re scanning building exteriors, interiors, or industrial components, the result is more than just imagery—it’s measurable, analyzable geometry.
How It Works — The Process
Preparation & Planning
Define what you need: the level of detail (LOD), resolution, range, and whether external conditions (light, weather) will interfere.
Data Capture
Position the scanner at multiple stations to cover all surfaces. Use targets or reference markers for alignment and capture with overlapping scans.
Processing & Registration
Merge scans to align them properly, clean noise, filter out irrelevant data (like people, moving objects), calibrate.
Post-processing & Deliverables
Convert point clouds into usable outputs—floorplans, sections, elevations, 3D meshes, BIM models, virtual walkthroughs. Run analyses (clash detection, deformation etc.).
Integration & Use
Use the data in design, restoration, facility management, or documentation. The quality of integration (into BIM, GIS, CAD) is key to unlocking value.
Key Benefits
Benefit
What It Means in Practice
Real-World Impact
Extreme Precision
Sub-millimetre to millimetre accuracy depending on the scanner and conditions.
Less rework. Better fit for retrofit, renovation, or mechanical systems in tight tolerances.
Speed + Efficiency
Collect large amounts of spatial data in far less time than traditional measurement.
Faster project turnaround. Reduced site time costs.
Non-Contact / Low Disruption
Good for fragile structures, hazardous or difficult-to-access places.
Preserves integrity of heritage buildings; safer for workers.
Comprehensive Documentation
Full visual & geometric context.
Informs future maintenance. Acts as an archival record.
Better Decision Making & Conflict Detection
Early clash detection; scenario simulation; what-if modelling.
Avoids costly mistakes; helps build consensus among stakeholders.
Enhanced Visualisation & Communication
Stakeholders can see exactly what exists vs. what’s being proposed.
Facility Management: Digital twins, maintenance, asset tracking.
Environment & Surveying: Terrain mapping, forestry, flood risk mapping (especially when combined with aerial systems or mobile scanning).
Challenges & Best Practices
Nothing is perfect. To get the most out of 3D laser scanning, anticipate and mitigate:
Environmental factors: Light, dust, rain, reflective surfaces can introduce noise.
Data overload: Massive point clouds are large; need strong hardware & efficient workflows.
Alignment & registration errors: Overlaps, control points, and calibration are vital.
Skill & Planning: Good operators + good planning = much better outcomes.
Key best practices:
Use reference targets for precise registration.
Capture overlap of 30-50% between scan positions.
Break project into manageable segments.
Clean noise early.
Think ahead about deliverables and how clients will use the data (design, BIM, VR etc.).
Case Studies & Stories
Heritage in Danger: A cathedral in Europe threatened by pollution and structural decay was laser scanned. The point cloud revealed minute deformations, enabling an accurate restoration plan—saving costs and preserving history.
Infrastructure Efficiency: A civil engineering firm reduced design clashes by 80% on a complex highway project by integrating scans with their BIM workflow.
Industrial Switch-Over: Manufacturing plant layout was reconfigured using scan data; downtime reduced because the virtual model matched reality better than the old blueprints.
Software, Tools & Ecosystem
While scanners are vital, the software ecosystem is what unlocks value. Tools that turn raw data into actionable insights include:
Reality capture tools (processing point clouds).
BIM / CAD integration (e.g. Revit, AutoCAD).
Visualization tools (VR, AR, walkthrough).
Data sharing & collaboration platforms.
Cloud storage / processing if large point clouds.
SaaS/cloud-based workflows are increasingly important to share among remote teams, facilitate stakeholder review, and ensure data is accessible beyond just technical users.
Why It Matters Now
Global pressures (heritage, sustainability, faster build cycles, remote work) are raising the bar.
Regulatory compliance and “as-built” requirements are stricter.
Digital twins & smart infrastructure demand high fidelity data.
3D laser scanning acts as a bridge: between physical world and digital twin; between heritage past and future; between design promise and build reality.
If you have a survey scan and want to make sense of point cloud data, contact Hamilton By Design
