Current technology, while offering convenience, often require our continuous engagement. Traditional display systems and instrument panels necessitate that users momentarily divert their gaze and refocus, thereby disrupting their concentration. This shift in attention and alteration of the line of sight introduces considerable safety hazards. Consequently, there is a need for innovative display solutions, such as Head-Up Displays (HUDs), which can effectively incorporate critical information within the user’s primary field of view. By reducing distractions, HUDs significantly improve situational awareness and provide crucial real time data which includes speed, navigation instructions, fuel levels, warning alerts and target locations, presented on either the windshield or the combiner. This allows for faster decision making while enhancing user safety.

The prevailing challenges in developing these AR HUD devices stem from numerous design elements and mechanical interferences, which results in inconsistent image quality. The objective is to display dynamic information with wide field of view (FOV) at a virtual distance that is comfortable for the driver’s line of sight. However, packaging a large FOV optical system into the uniquely shaped and increasingly compact dashboard space of vehicles presents significant challenges. This mechanical constraint results in a sub optimal optical path, necessitating multiple iterations of the CAD design, which prolongs the design phase. Due to windshield curvature and variations, prototypes usually exhibit ghosting or double images, non-uniform colour and image distortion. It is imperative to ensure the HUD is legible and has good contrast under all lighting conditions (ambient light and glare caused by internal reflections).
The solution is to implement a virtual first approach, which can be achieved by leveraging the advanced capabilities of CODE V for optical design and optimization, and LightTools for non-sequential illumination and stray light analysis.

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CODE V Capabilities: Optical Design, Packaging and Tolerancing

It is possible to export/import CAD files and use it for both visualization and/or ray tracing in sequential or non-sequential models. It allows engineers to spot clearance issues directly in CODE V, eliminating the need to switch to mechanical design software to see packaging issue.

In terms of optical performance and image quality CODE V offers numerous benefits:

• Design Optimization: Global and local optimization features enable engineers to simultaneously optimize large eye box, virtual image distance and distortions while considering packaging constraints.
• Image quality: aberration analysis and ghost image analysis help predict the anomalies caused by the windshield’s complex geometry and coatings. It allows precise tailoring of internal optics to minimize distortions, eliminate double reflections and ensure superior image quality and uniformity.
• High production variability: CODE V can simulate the impact of manufacturing variations of the HUD system with its comprehensive tolerancing tool. This allows engineers to predict production yields and modify designs, if necessary, in the early stages thus significantly reducing costs.

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LightTools Capabilities: Illumination, Stray Light Analysis and Visualization

Employing the non-sequential ray tracing, advance scattering models and virtual prototyping capabilities of LightTools, it is possible to simulate light interactions with every surface including dashboard, trim and windshield coatings. Detailed photometric and radiometric analysis helps achieve uniform brightness and colour distribution of the projected image, essential for driver comfort and information clarity.

LightTools has various utilities to help analyze the HUD system:

• Image Processor: a true colour or greyscale image can be used for spatial apodization of a source (PGU). This recreates the true colour image after ray tracing through the optical system. It generates the perceived HUD image which allows for objective assessment.

• Solar Source: Used for the sun effect analysis, it is possible to simulate sun glare under various environmental conditions by varying the angles and locations. This helps to identify and ensure good contrast and readability under all lighting conditions.
• Parameter Analyzer: allows visualization of HUD image motion as driver moves within the eyebox.

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The process of developing HUDs can be enhanced through the utilization of CODE V and LightTools, which facilitates the delivery of products that exhibit superior performance. This approach not only accelerates the time to market but also mitigates manufacturing risks, resulting in substantial cost savings.

In today’s automotive landscape, designing a vehicle is no longer just about performance or aesthetics—it’s about people. As comfort, safety, and inclusivity become essential components of vehicle design, integrating human-centric approaches right from the conceptual phase is no longer optional.

This is where RAMSIS makes all the difference.

What is RAMSIS?

RAMSIS (Realistic Anthropometric Mathematical System for Interior Comfort Simulation) is the world’s leading digital human modelling (DHM) software, developed by Humanetics Digital Europe GmbH (former know as Human Solutions). It enables engineers and designers to simulate human interaction with vehicle interiors early in the design cycle using virtual manikins derived from real-world human body data.

From driver workspace design to posture validation and reach analysis, RAMSIS ensures that products are ergonomically optimized, safe, and ready to meet international regulations before any physical prototype is built.

Why Ergonomics Matters in Vehicle Design

Every interaction—be it steering, entering and exiting, adjusting a seat, or reaching a control—affects user comfort and safety. Poor ergonomics can lead to fatigue, discomfort, or even safety hazards.

With RAMSIS, vehicle manufacturers can account for variations in body size, gender, age, and regional population characteristics, ensuring the design suits real human needs. This is especially important today, as vehicles become more diverse in form—electric, autonomous, off-road, or specialized.

Key Capabilities of RAMSIS

• Vision analysis
• Reach and accessibility validation
• Ingress/egress simulation
• Posture and seat comfort evaluation
• Customizable avatars with country-specific anthropometric data

Seamless Integration and Flexibility

RAMSIS supports effortless integration with major
design platforms, including:

• CATIA V5
• 3DEXPERIENCE Platform
• SIEMENS NX

It is also available as a standalone application,
providing flexibility for teams using varied design tools.

Broad Industry Applications

While RAMSIS is widely used in the development of passenger vehicles, commercial vehicles, defence, and aircraft, it has also gained significant traction among two-wheeler and three-wheeler OEMs. As these industries begin prioritizing ergonomic standards, RAMSIS offers a reliable way to evaluate rider posture, seat height, and control accessibility even at early stages.

The Advantage: RAMSIS’s Core Strengths Over Its Competitors

1. Anthropometric Database
   One of RAMSIS’s most powerful differentiators is its extensive and validated anthropometric database.

Anthropometry is the scientific study of human body dimensions—such as height, limb length, joint angles, and sitting postures. It plays a vital role in ensuring that product designs are tailored to the target user population.

RAMSIS includes region-specific anthropometric data for nearly every major geography—except Africa—and supports multiple population groups, age ranges, and genders.

In India, RAMSIS incorporates the ARAI Size India Database, which is valid until 2040. This allows OEMs to design vehicles for future Indian populations. For instance, if you’re designing a car to launch in 2030, RAMSIS enables you to simulate what the average male and female body proportions will look like by then—ensuring future compliance and customer comfort.

2. Scientifically Developed Posture Models
   Another major advantage of RAMSIS lies in its realistic posture models—carefully developed to reflect actual human body behaviour in different scenarios.

Posture models in RAMSIS are standardized, ergonomically optimized representations of how humans sit, stand, reach, or drive in real-world conditions. These aren’t arbitrary or algorithmically guessed poses—they’re the result of detailed empirical research.

Humanetics Digital Europe GmbH (formerly known as Human Solutions) developed these posture models by conducting live physical studies. For every posture model—be it for a driver, passenger, or operator—more than 40 real participants were observed sitting or standing in the target position for up to 3 hours. Each participant was analysed for posture consistency, comfort, and biomechanical alignment, and the results were fed into RAMSIS’s model framework.

This hands-on, data-driven process ensures that RAMSIS posture models are scientifically validated and ergonomically optimized, offering unmatched realism compared to other DHM tools.

 

What’s New in RAMSIS NextGen

The latest version of RAMSIS—NextGen—features a refreshed interface, improved simulation accuracy, and greater flexibility for creating manikins. It supports more detailed analysis scenarios for both traditional and next-generation mobility solutions.

Conclusion

RAMSIS bridges the gap between digital design and real human experience. With its unmatched anthropometric database, scientifically validated posture models, powerful simulation capabilities, and seamless CAD integration, it enables OEMs to develop vehicles that are ergonomically sound, regulation-compliant, and ready for the future.

In the upcoming blogs, we’ll explore practical use cases, deep dive into RAMSIS modules, bodybuilder tools, and share real-world best practices for ergonomic validation across different vehicle platforms.

In mineral exploration and mining, understanding the subsurface is everything. The success of any resource evaluation hinges on one critical component — the geological model.

This model isn’t just a technical requirement; it’s the foundation for informed decision-making, financial evaluation, and long-term mine planning. An efficient geological model transforms data into confidence — and that confidence drives value.

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The Backbone of Mineral Resource Estimation

Mineral Resource estimation and classification rely heavily on the accuracy of the orebody’s geometry. That geometry is captured through a 3D geological model — a digital representation of what lies beneath the surface.

But creating that model isn’t simple. It’s shaped by structural and depositional complexity, which is initially defined through limited drilling information. At early project stages, geological interpretation must be done with caution, as the available data only tells part of the story.

As more information becomes available, the geological model must be updated and refined. This ensures that resource estimates remain well-constrained, reducing the risk associated with grade continuity assumptions and resource classification.

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From Data to Understanding: The Power of Ongoing Refinement

The model’s refinement is a continuous process. Each new drillhole adds depth to the geological story — not just in data, but in interpretation. Along with updated grade statistics and spatial correlations, the working knowledge gained over the life of the mine plays a vital role. Familiarity with the deposit and the modeling software are also key.

Refinement ensures that the geological model stays current and reliable, leading to better decisions at every stage of the mining value chain.

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Managing the Most Valuable Asset: Geological Data

In exploration and mining, geological data is the single most important input into any technical or financial assessment. It defines the location, geometry, and grade of the orebody — all critical for understanding the potential value of a deposit.

That’s why mining organizations invest heavily every year to:

• Acquire new geoscientific data
• Make new geological interpretations
• Maintain, manage, and interrogate historical data

As analytical technologies and interpretation methods evolve, even older data can increase in value — provided it’s well curated.

But collecting the data is just the beginning.

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Turning Data into Action with Geological Modeling

To make meaningful use of that data, companies must convert it into an accurate, reliable 3D geological model. That’s where tools like GEOVIA come in — helping teams visualize subsurface geology, test hypotheses, and make smarter decisions on surface and underground.

Efficient geological data management enables:

• Better understanding of mineral distribution
• More accurate risk assessments
• Smarter mine planning and development
• Operational excellence across the value chain

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What Makes a Geological Model Work?

A 3D geological model is a digital, visual, and interactive representation of subsurface structures and rock properties. It integrates various data types — from drillhole logs and geophysical surveys to rock characteristics — to build a clear picture of what’s underground.

Creating this model involves four essential steps:

• Data Collection and Analysis
  Gathering comprehensive data — including drillholes, geophysics, and geochemistry — to understand the geological setting.
• Interpretation and Correlation
  Identifying geological structures like faults, folds, and mineralized zones. Correlating all available data builds a consistent geological narrative.
• Model Construction
  Using specialized software such as GEOVIA to build a three-dimensional view that integrates all geological interpretations.
• Validation and Refinement
  As new data becomes available, the model is updated and refined — ensuring it reflects the most accurate understanding of the subsurface.

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Conclusion: The Strategic Value of Geological Modeling

An efficient geological model is more than a technical tool — it’s a strategic asset. It supports better decisions, reduces uncertainty, and unlocks the full potential of your mineral resource.

With the right processes, tools, and commitment to continuous improvement, your geological model becomes a source of confidence — from exploration through to production.

 

Additive Manufacturing (AM), commonly known as 3D printing, is revolutionizing industries from aerospace to healthcare, offering unparalleled design freedom, reduced waste, and cost-effective production. Among the various AM technologies, extrusion-based Additive Manufacturing (EBAM) stands out as one of the most versatile and widely used processes. Whether you’re a seasoned engineer or someone curious about 3D printing, EBAM is a fascinating and transformative approach to manufacturing that’s worth exploring in detail.

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What is Extrusion-Based Additive Manufacturing?

Extrusion-based Additive Manufacturing, often synonymous with Fused Deposition Modelling (FDM) or Fused Filament Fabrication (FFF), is a process where material is deposited layer by layer to build a 3D object. It typically uses thermoplastic polymers as the raw material, which are fed into an extrusion nozzle. The material is heated, melted, and extruded onto a build platform, solidifying as it cools.

The process is highly accessible, making it ideal for both prototyping and end-use applications. Its popularity is driven by several key advantages such as low cost, availability of materials, and ease of use, which have made EBAM the go-to option for industries and hobbyists alike

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The Working Principle of EBAM:

The EBAM process starts with a digital 3D model, which is sliced into multiple layers using slicing software. These layers are then translated into machine code that guides the movement of the extruder and build platform. The raw material, usually in filament form, is pushed through a heated nozzle. As the nozzle moves along the X and Y axes, it deposits molten material in precise patterns, forming a single layer. Once the first layer cools and solidifies, the platform moves down (or the nozzle moves up) along the Z axis, and the next layer is extruded on top. This process repeats until the entire object is printed.

Key factors that influence the process include the temperature of the nozzle, the speed of extrusion, layer thickness, and cooling rates, which must be carefully controlled to ensure good adhesion between layers and the overall strength of the final product.

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Materials Used in Extrusion-Based AM:

The flexibility in material selection is one of the reasons for EBAM’s widespread adoption. The most common materials include:

• PLA (Polylactic Acid): A biodegradable thermoplastic, PLA is easy to print, has low warping, and is ideal for beginners.
• ABS (Acrylonitrile Butadiene Styrene): Known for its strength and durability, ABS is a bit more challenging to print due to its higher extrusion temperature and warping issues but is perfect for industrial applications.
• PETG (Polyethylene Terephthalate Glycol): Combining the ease of PLA and the strength of ABS, PETG is a highly versatile material used for both consumer and professional applications.
• Engineering-grade materials (Nylon, TPU, PEEK): These are increasingly being used for functional parts in aerospace, automotive, and medical fields.
• Composite filaments like carbon fibre-infused PLA or metal-infused plastics are also available, expanding the range of mechanical properties achievable with EBAM.

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Advantages of Extrusion-Based AM:

1. Affordability:

Compared to other AM processes like Stereolithography (SLA) or Selective Laser Sintering (SLS), extrusion-based AM systems are significantly more affordable. This has made them highly popular for rapid prototyping, small batch production, and even custom end-use parts.

2. Material Flexibility:

The range of materials that can be processed through extrusion-based systems is ever-growing. This flexibility enables engineers and designers to select materials based on the specific mechanical, thermal, or aesthetic properties required for their application.

3. Scalability and Accessibility:

Desktop 3D printers, which often use FDM technology, have brought extrusion-based AM into homes, schools, and small businesses. However, large-scale systems are also available, making EBAM scalable for larger industrial applications.

4. Ease of Use:

EBAM is relatively easy to operate, even for beginners. The technology is mature, and user-friendly slicer software makes it possible to quickly convert 3D designs into printed objects with minimal technical knowledge.

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Challenges and Limitations:

While extrusion-based AM has many advantages, it also comes with its set of challenges:

• Surface Finish: One of the biggest limitations of EBAM is its relatively coarse surface finish compared to other AM technologies. Post-processing may be required to smooth surfaces.
• Speed vs. Quality: There is often a trade-off between speed and print quality. Higher print speeds can reduce detail, while slower speeds produce better quality but increase print time.
• Layer Adhesion: Ensuring strong bonding between layers is critical for the mechanical integrity of the part. Inconsistent cooling or material flow can lead to weak spots or warping.

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Applications of Extrusion-Based AM:

Despite some limitations, EBAM is transforming how products are designed, prototyped, and manufactured. Its applications are vast and diverse, including:

• Prototyping: Companies use EBAM for rapid prototyping, allowing them to iterate designs faster and more cost-effectively compared to traditional manufacturing.
• End-Use Parts: Custom parts for niche markets, such as spare automotive components or healthcare aids, are increasingly being made using extrusion-based technologies.
• Educational Tools: Many schools and universities use desktop FDM printers to teach design and engineering, giving students hands-on experience with cutting-edge technology.
• Art and Design: Artists and designers leverage the freedom of form and material provided by EBAM to create unique sculptures, jewellery, and consumer products.

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Future – Outlook:

The future of extrusion-based Additive Manufacturing looks promising. As material science continues to evolve, new composite filaments, high-strength thermoplastics, and bio-based materials are being introduced, expanding its scope. Additionally, advancements in multi-material printing, large-scale extrusion systems, and hybrid AM processes promise to overcome current limitations like surface finish and part strength.

In industries such as aerospace, automotive, and healthcare, extrusion-based AM is increasingly being integrated into supply chains, not only for prototyping but for functional parts and components. As these technologies continue to develop, we can expect them to play an even more significant role in the future of manufacturing.

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Conclusion:

Extrusion-based Additive Manufacturing has made 3D printing more accessible than ever before. Its affordability, versatility, and ease of use have democratized the field of manufacturing, allowing businesses, engineers, hobbyists, and educators to innovate without the constraints of traditional methods. While challenges remain, continued advancements in materials and technology are propelling extrusion-based AM into a new era of possibilities, driving its adoption across industries. Whether you are looking to create prototypes, custom parts, or even final products, extrusion-based AM offers an exciting pathway toward innovation.

Stay tuned to our Blog series to get further information on the above technologies in detail.