3D Scanning Engineering in Orange

Orange is one of Australia’s most distinctive regional cities. Set high on the Central Tablelands, it combines a cool-climate environment with major health, education, agriculture, infrastructure, and mining-services activity. Engineering in Orange is shaped by altitude, frost, diverse industries, and a mix of modern and legacy assets—making accuracy, coordination, and practical design essential.

Hamilton By Design supports projects in and around Orange by combining 3D LiDAR laser scanning, mechanical and structural engineering, 3D CAD modelling, FEA, and fabrication-ready drafting. Our approach focuses on capturing real site conditions and turning them into buildable, engineering-approved outcomes.

Engineering challenges in a high-altitude regional city

Unlike many inland centres, Orange’s elevation brings colder temperatures, frost, and greater thermal movement. At the same time, the city supports critical assets such as hospitals, utilities, agricultural processing facilities, and infrastructure that must remain operational.

Engineering teams commonly deal with:

Brownfield sites with assets added over decades
Incomplete or outdated drawings
Tight staging requirements around live facilities
A need for conservative, reliable design

In this environment, assumptions introduce risk. Accurate as-built data is the foundation of successful projects.

3D Laser Scanning for Orange projects

Hamilton By Design uses high-accuracy 3D Laser Scanning to capture the true as-built condition of sites across Orange and the Central Tablelands. Laser scanning records millions of precise measurements, creating a detailed digital record of buildings, plant, structures, and surrounding interfaces.

3D laser scanning is particularly valuable in Orange for:

Health, education, and public infrastructure upgrades
Industrial and agricultural processing facilities
Mining-support and utilities assets
Sites where drawings no longer reflect reality

Scanning is typically completed during short, controlled site visits, minimising disruption while delivering data that can be relied on throughout the project.

Turning scan data into accurate 3D models

Once scanning is complete, the data is processed and converted into detailed 3D CAD Modelling. These models represent what actually exists on site—not what historic documentation suggests.

For Orange projects, scan-based 3D modelling supports:

Mechanical upgrades and equipment replacements
Structural additions such as platforms, supports, and access ways
Integration of new assets into existing facilities
Long-term digital records for future maintenance and expansion

Accurate models reduce uncertainty and allow design decisions to be made early and with confidence.

Mechanical and structural engineering built on real conditions

Engineering in Orange often involves coordinating multiple disciplines across constrained or operational sites. Working from scan-derived models allows engineers to:

Understand existing load paths and constraints
Check clearances and access early in the design
Coordinate mechanical and structural elements in a single environment

This leads to designs that are practical, buildable, and aligned with how assets are actually used—particularly important in a climate-affected region.

FEA to support performance and compliance

Where performance, safety, or compliance is critical, Hamilton By Design applies FEA Capabilities to support engineering decisions.

Finite Element Analysis is commonly used to:

Check structural capacity under operational and environmental loads
Assess modifications to existing steel and concrete
Review fatigue, vibration, and deflection
Support engineering approval and sign-off

Using FEA on scan-based geometry provides confidence that designs will perform as intended in real operating conditions.

Easy-to-build fabrication drawings with engineering approval

Clear documentation is essential for efficient construction—particularly in regional locations where rework can be costly. Hamilton By Design produces fabrication-ready Drafting directly from coordinated 3D models.

Typical deliverables include:

General arrangement and detail drawings
Fabrication and installation drawings
Engineering-reviewed and approval-ready documentation

This focus on clarity and constructability helps fabricators and contractors build accurately the first time.

Reducing risk through digital engineering

By capturing site conditions once and completing the majority of engineering off site, projects in Orange benefit from:

Reduced site visits and travel costs
Improved safety outcomes
Better coordination before fabrication
Fewer surprises during installation

This approach aligns well with Orange’s role as a regional hub supporting diverse industries across central NSW.

Supporting Orange with practical, buildable engineering

Orange’s strength lies in its balance—health, agriculture, infrastructure, mining services, and community all intersect here. Hamilton By Design’s integrated scanning and engineering workflow supports this complexity by delivering accurate data, sound engineering judgement, and clear documentation.

3D Scanning Engineering in Orange is about turning real-world site conditions into clear, buildable engineering outcomes that support growth, reliability, and long-term performance across the region.

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28 September 20257 December 2025

Seeing the Unseen: How LiDAR Scanning is Transforming Mining Process Plants

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.

nfographic showing how LiDAR scanning is used in mining process plants, with illustrations of conveyors, crushers, tanks, mills and chutes. Labels highlight applications such as stockpile volumetrics, crusher inspections, safety and risk management, chute wear and blockages, mill wear measurement, tank deformation monitoring and creating digital twins.

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.

Infographic showing a 3D LiDAR scanner on a tripod surrounded by eight best-practice principles: start with clear objectives, plan your scanning campaign, prioritize safety, optimize data quality, ensure robust registration and georeferencing, establish repeatability, integrate with downstream systems, and train people with documented procedures

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.

3D Scanning | Mining Surface Ops | 3D Modelling

Mechanical Engineering | Structural Engineering

Mechanical Drafting | Structural Drafting

3D CAD Modelling | 3D Scanning

Chute Design

SolidWorks Contractors in Australia

Hamilton By Design – Blog

29 May 20249 December 2025

Mechanical Engineering Challenges for Conveyor Reliability

Challenges for Conveyor Reliability

The challenges Mechanical Engineers have when it comes to maintaining the reliability of conveyor systems for transporting bulk materials, particularly particles ranging from 1mm to 100mm, presents mechanical engineers with a host of challenges. Reliability maintenance aims to ensure that these systems operate consistently and efficiently over their operational lifespan, minimizing downtime and optimizing productivity. Here are some key challenges faced by mechanical engineers in this regard:

Three-view SolidWorks model of an industrial conveyor transfer system, showing an isometric view, top view, and side view. The assembly includes a transfer chute, conveyor belt sections, support frame, rollers, and structural steel components

1. Component Wear and Failure: The continuous operation of conveyor systems subjects various components such as belts, rollers, bearings, and drive mechanisms to wear and potential failure. The abrasive nature of bulk materials can accelerate this process, leading to shortened component lifespan and increased risk of unexpected breakdowns. Mechanical engineers must implement proactive maintenance strategies, including regular inspections, lubrication, and component replacement, to mitigate wear-related issues and enhance system reliability.

2. Material Contamination and Blockages: Bulk materials containing particles of diverse sizes can lead to material contamination and blockages within conveyor systems if not properly managed. Fine particles may accumulate in chutes, transfer points, or on conveyor surfaces, causing flow disruptions and increased friction. Engineers need to design systems with effective cleaning mechanisms, such as scrapers, brushes, and air blowers, to prevent material buildup and maintain uninterrupted material flow.

3. Misalignment and Tracking Issues: Misalignment of conveyor belts and tracking problems can result in uneven material distribution, increased friction, and premature wear on system components. Mechanical engineers must ensure proper belt tensioning and alignment during installation and implement monitoring systems to detect and correct any deviations from the desired trajectory. Advanced tracking technologies, such as automated belt positioners and laser alignment tools, can aid in maintaining optimal conveyor performance.

4. Environmental Factors: Harsh environmental conditions, including temperature variations, moisture, dust, and corrosive substances, pose significant challenges to conveyor system reliability. Exposure to such elements can accelerate component degradation and compromise system integrity. Engineers must select durable materials, coatings, and sealing solutions resistant to environmental hazards and implement preventive measures, such as regular cleaning and protective enclosures, to safeguard conveyor systems from adverse effects.

5. Safety and Regulatory Compliance: Compliance with safety regulations and industry standards is essential for ensuring the reliability and safe operation of conveyor systems. Mechanical engineers must stay abreast of regulatory requirements and design systems that meet or exceed applicable standards for material handling equipment. Regular safety inspections, training programs for personnel, and implementation of safety protocols are crucial aspects of reliability maintenance in conveyor systems.

At Hamilton By Design, our team have the experience in addressing these challenges requires a comprehensive approach that combines sound engineering principles, advanced technologies, and proactive maintenance practices. By implementing robust reliability maintenance programs, mechanical engineers can maximize the uptime and longevity of conveyor systems for transporting bulk materials, thereby optimizing operational efficiency and minimizing costly disruptions.