Mining Experience/Knowledge: Giant Miner

04/28/2026

What xP-Fan Made Possible in Calibration

In most operations for the Run-off-mine, both the blasting team and mineral processing unit focus primarily on oversize control, ensuring that no fragments are large enough to block the crusher or cause downtime. Achieving a D80 that supports efficient comminution and downstream separation is typically the main target. However, incorporating accurate fine fraction representation provides a more complete understanding of fragmentation. This enables better explosive distribution design, allowing energy to be strategically concentrated in zones prone to boulder formation, while fine material data supports ongoing target adjustments and optimization of blast performance.

In image-based systems, the accuracy of fines estimation depends on how closely the measured particle size distributions (PSDs) represent actual conditions, particularly when fines are partially or fully obscured. While traditional calibration methods improved outcomes, they often relied on sieve data which is unavailable for blasting. The introduction of the xP-Fan calibration approach represents a major advancement in what can be achieved.

Moving Beyond Surface-Only Measurement

xP-Fan enables the quantification and reconstruction of hidden fines distributions, replacing the need for rough approximations that often produce distorted or unrealistic tails in the PSD curve.

Instead of treating missing fines as a correction factor, xP-Fan models them as a structured extension of the observed PSD. This transforms calibration from a “patch” into a data-informed reconstruction process.

Bridging Image Data with Reality

Earlier calibration approaches often depended heavily on sieve data, used with models such as Rosin–Rammler distribution or Swebrec function.

xP-Fan introduced the ability to:

Adapt calibration dynamically to actual fragmentation behavior

Reduce dependence on rigid distribution assumptions

Align image-based PSDs more closely with sieve or belt-cut data

This creates a stronger link between optical measurement and physical truth.

Improved Fines Detection Without Extra Sampling

One of the most practical breakthroughs is that xP-Fan reduces the need for sieving, which is impossible for blast pile. By leveraging calibration curves derived from image data, it enables better fines estimation from a single image and multiple merged set.

WipFrag 4 latest version, now provide xP-Fan calibration option, basically for Blasting Fragmentation Assessment.

Not Using WipFrag yet: Download here: https://lnkd.in/dAVP7Py9

Using WipFrag already Just update to latest version for free and enjoy xP-Fan Calibration.

Watch my new Video here to understand xP-Fan Calibration better: https://youtu.be/F1zfwPOM6oE?si=a6JabNRKMcd_i5E9

How to Apply Calibration on WipFrag 4

04/15/2026

Five Things Blasters Should Know About WipFrag 4

In modern blasting operations, accurate fragmentation analysis is critical for optimizing downstream processes, improving productivity, and reducing costs. WipFrag 4 remains one of the most trusted tools in the industry. Here are five key things every blaster should be aware of:

1. Proven Credibility Since 1986

WipFrag has been designed and used across the explosive, mining, and construction industries for decades. Since 1986, it has built a strong reputation for accuracy, reliability, and continuous improvement, making it a trusted solution for fragmentation analysis worldwide.

2. Device-Agnostic Compatibility

One of the standout features of WipFrag 4 is its flexibility. It is compatible across multiple platforms, including Windows PCs, Android devices, and Apple devices. This allows blasters and engineers to perform analysis seamlessly whether in the office or directly in the field.

3. Multi-Functional Capabilities

WipFrag 4 is more than just a fragmentation tool. It is equipped with three powerful modes:
a. Fragmentation Analysis – for measuring blasting and rock size distribution
b. Joint Analysis – for evaluating structural geology and discontinuities
c. BlastCast Module – for fragmentation prediction based on modified Kuz-Ram model using WipFrag result.

4. Standalone Power and Purpose-Built Innovation

WipFrag 4 operates as a standalone, purpose-built application, not a generalized software. It is specifically engineered for fragmentation analysis, allowing it to function independently without heavy reliance on external systems or constant connectivity.

This focused design enhances speed, reliability, and performance, especially in remote mining environments where consistency matters most. Backed by continuous development since 1986, WipFrag reflects a level of innovation that goes far beyond experimentation, it represents decades of refining, improving, and delivering real, field-proven results.

5. User-Friendly Interface

Despite its advanced capabilities, WipFrag 4 is designed with ease of use in mind. Its intuitive interface allows both new and experienced users to quickly perform analyses, interpret results, and make informed decisions without a steep learning curve.

Conclusion
WipFrag 4 combines decades of industry trust with modern flexibility and powerful analytical tools. For blasters aiming to improve fragmentation outcomes and overall blast performance, it remains an essential part of the digital toolkit.

Download WipFrag 4 here: https://lnkd.in/dAVP7Py9

03/24/2026

Beginner’s Guide to Fragmentation Analysis Using WipFrag

Fragmentation analysis is a critical part of the mining value chain. It helps engineers understand the size distribution of blasted rock and evaluate blast performance, crusher efficiency, and downstream processing performance.

One of the most widely used tools for this purpose is WipFrag, developed by WipWare Inc.. The software analyzes digital images of rock piles and automatically generates particle size distribution (PSD) results. 

This guide provides a step-by-step learning path for beginners.

1. Understand the Basics of Fragmentation Analysis

Before learning the software, understand the concepts behind fragmentation.

Key Concepts
1. Particle Size Distribution (PSD)
Distribution of rock sizes after blasting.
2. D50 / P50
The size where 50% of the material is smaller.
3. D80 / P80
The size where 80% of the material passes.
4. Oversize / Fines
Oversize affects crusher performance.
Excessive fines may indicate over-blasting.

Fragmentation analysis helps:
1. Improve blasting efficiency
2. Reduce crusher energy consumption
3. Increase mill throughput
4. Improve overall mine productivity. 

2. Learn How WipFrag Works

The basic workflow of WipFrag is very simple.

Standard Analysis Workflow
1. Capture image of rock pile.
2. Import image into WipFrag if not taken in app
3. Set image scale if Auto scale is not used
4. Run automatic edge detection.
5. Edit particle boundaries (if required).
6. Generate PSD results and charts.

This workflow converts rock images into quantitative fragmentation data for decision making. 
Watch this short video: Here is the video

https://youtu.be/10rsq-IoKSw?si=8gYPq1kG5L1d4rLU

3. Start With Proper Image Capture (Very Important)

Good analysis starts with good images.

Advanced WipFrag Features to Learn Later

After mastering the basics, explore advanced tools.

Important Advanced Features

BlastCast
Predict fragmentation for future blasts.

Auto Scale
Automatic scale detection.

UAV Fragmentation Analysis
Analyze drone orthomosaic images.

WipJoint
Analyze rock fractures and joint planes.

These features help optimize blasting and improve mine productivity. 

02/17/2026

How to Use WipFrag – Step-by-Step Guide
I’m excited to share a comprehensive training video on how to effectively use WipFrag for image analysis and fragmentation measurement.
In this video, I cover:
✔️ Software setup and navigation
✔️ Best practices for capturing quality images
✔️ Model selection (Default, Terrestrial, Special Deep Learning)
✔️ Editing tools and eliminating false positives
✔️ Tips to improve analysis accuracy
✔️ Cloud and local workspace management
Whether you’re new to WipFrag or looking to optimize your workflow, this video will help you get the most accurate and reliable results from your analysis.
Watch, learn, and feel free to reach out if you have any questions or would like a live walkthrough session with your team.
Access video here: https://youtu.be/_wDgLTFm_5I?si=BTqhI4QyJawMTf6A
hashtag hashtag hashtag hashtag hashtag

Download WipFrag here and try on the demo images to learn:
https://wipware.com/get-wipfrag/

01/09/2026

Discover the Key to Smarter, More Efficient Mining!

Ready to elevate your mining and mineral processing operations?

Learn how our innovative technology can optimize your processes and drive better results.

Explore our products and see how we can transform your operations:

Explore WipWare’s automated fragmentation analysis systems for mining & aggregates. Measure, monitor, and optimize your entire value chain.

12/23/2025

Merry Christmas!
Wishing you a season filled with joy, peace, love, and laughter. May your home be warm, your heart be full, and the new year bring endless opportunities.

12/02/2025

Lessons on the Effect of Fractures on Rock Fragmentation

Rock fragmentation during blasting is strongly influenced by the interaction between stress waves and geological structures. Weak or less stiff zones, such as joints, bedding planes, or other discontinuities, reflect the incoming shock wave during detonation. This reflected energy increases damage on the opposite side of the discontinuity, often producing coarser fragmentation in those areas. Conversely, stronger and stiffer rock units transmit stress waves more efficiently.
Blasting produces three primary damage zones within the rock mass:
Crushed Zone
This forms immediately around the borehole where the explosive shock wave exceeds the rock’s dynamic compressive strength, pulverizing the rock.
Fracture Zone
As the stress wave travels outward, the rock yields when the induced tensile stresses surpass the dynamic tensile strength. This creates radial and circumferential fractures extending several hole diameters from the blast hole (Ding et al., 2022).
Spalling Zone
The spalling zone develops when stress waves encounter a free face. The wave reflects back as a tensile wave, and if this reflected tensile stress exceeds the rock’s tensile strength, slabbing or thin “tile-like” breakage occurs (Zhang, 2016).
The size and intensity of these zones depend on explosive type, energy characteristics, and rock mass properties.

Influence of Geological Structures and Impedance
The impedance mismatch between intact rock and geological structures also significantly affects the transmission and distribution of stress waves. When stress waves pass through materials with different densities or stiffness, their speed and amplitude change. This alters fragmentation patterns, influences damage zone extent, and affects material throw.

Numerical and Field Evidence
Numerical and field studies by Magreth Dotto Ph.D., P.Eng. and Yashar Pourrahimian provide valuable insight into damage distribution in jointed rock masses under blast loading:
Their LS-DYNA numerical model for 51 mm holes shows the crushed zone radius extends 87.71 mm, approximately 1.72 times the borehole radius.
Using peak particle velocity (PPV) criteria, the fracture zone extends to 3.02 m, or 59.2 times the hole radius. Field trials confirmed these results, with a crushing radius of 93.09 mm and a fracture radius of 3.1 m.
PPV measurements showed a significant drop from 102 m/s near the hole to 2.35 m/s beyond the fracture zone indicating the rapid attenuation of energy after fracturing.
Key Takeaway for Blasting Engineers
A critical lesson from these findings is that the fracture zone generated around each blast hole must remain within the hole’s burden and spacing. If the induced fracture radius exceeds or become lesser than these design parameters, fragmentation becomes inconsistent and inefficient.
Understanding the fracture zone radius is essential for designing burden, spacing, and energy distribution that deliver optimal fragmentation.

11/19/2025

Role of Particle size distribution on SAG Mill Performance

Particle size distribution (PSD) is one of the most influential factors governing the performance of a Semi-Autogenous Grinding (SAG) mill. Because SAG mills operate using a combination of ore competency, impact breakage, and abrasion, the balance of coarse and fine fractions in the feed dictates grinding efficiency, mill load behavior, and overall circuit stability.

How PSD Influences SAG Mill Performance

A well-balanced PSD provides the correct proportion of coarse particles needed to generate impact forces and fine particles required to support efficient slurry flow. When the PSD is optimal:

1. The mill experiences steady power draw

2. Breakage mechanisms function efficiently

3. Throughput increases

4. Liner and media wear remain controlled

5. The circuit operates with predictable load dynamics

How Poor PSD Creates Excessive Pebbles

When the PSD becomes skewed, especially with an excess of large, competent fragments or a deficit of fines, the grinding environment inside the SAG mill becomes unstable. This leads to the formation of critical size material, typically between, that is too large to be ground efficiently by impact and too small to serve as competent grinding media. See attached image on mill breakage rate per PSD. These rocks circulate in the mill longer and accumulate as pebbles.

Problems caused by poor PSD include:

1. Increased pebble load: Oversized, hard fragments fail to break and are rejected as pebbles, reducing effective grinding volume.

2. Reduced throughput: The mill becomes overloaded with unbroken rocks, lowering its ability to process new feed.

3. Higher recirculation loads: Pebbles require additional crushing in a pebble crusher and are often returned to the mill, increasing circuit complexity.

4. Energy inefficiency: More power is consumed in attempting to break material that is not responsive to SAG grinding mechanisms.

Importance of Real-Time PSD Monitoring

Real-time PSD control ensures consistent feed quality and minimizes pebble formation. Technologies such as WipWare Inc.’s Solo 6 provide continuous fragmentation measurement from the stockpile, or conveyor. This allows operators to:

1. Detect shifts in ROM fragmentation

2. Adjust blasting or blending strategies proactively

3. Stabilize SAG mill feed size

4. Reduce pebble generation and maintain high throughput

Conclusion

The PSD of the run-of-mine feed is a critical driver of SAG mill efficiency. Poor PSD, especially coarse-heavy distributions creates excessive pebbles, increases energy consumption, and destabilizes the entire grinding circuit. Maintaining an optimal PSD through controlled blasting, proper blending, and real-time photoanalysis significantly enhances SAG performance, reduces operational costs, and improves overall mineral processing productivity.

Learn more about here: https://wipware.com/products/solo-conveyor-analysis-system/

11/03/2025

How Free-Face Blocking and Pre-Fracture Conditions Cause Boulders

The condition of the free face has a major influence on blast fragmentation. When the first-hole row burden is not properly designed with respect to the pre-fracture status of the face, the energy from the first row may not effectively break the in-situ rock. Instead, it can become trapped behind existing fractures, leading to poor breakage and large boulders.

These pre-fractures may come from natural joints or cracks induced by previous blasts, creating partially detached rock blocks. In such cases, the face no longer behaves as solid rock but as a series of disconnected blocks. If not accounted for, this causes uneven burden and poor energy distribution.

WipJoint can be used to evaluate this pre-fractured state by measuring joint spacing, and apparent orientation with Mobile phone. This helps blasters understand the structural condition of the face and adjust the first-row burden and charge accordingly.

After blasting, WipFrag provides a quantitative assessment of the post-blast fragmentation, identifying particle size distribution. When results from both tools are compared, they clearly show how pre-fractured faces influence fragmentation outcomes.

By integrating WipJoint for free-face assessment and WipFrag for post-blast analysis, blasters can design burdens that ensure the first row’s energy efficiently breaks both the in-situ rock and pre-existing blocks—reducing boulder formation and improving overall fragmentation quality.
Read more here: https://wipware.com/newsfeed/

10/15/2025

The Solo 6, equipped with an eco-friendly light, enhances operational efficiency by reducing the time required for continuous image processing from the conveyor belt.

The working sequence of this autonomous, on-belt fragmentation analysis system operates as follows:

As the conveyor moves, Solo 6 automatically captures images of the material on the belt. These images are then processed and displayed in real time on WipFrag software, which serves as the system’s Human-Machine Interface (HMI).

For users familiar with WipFrag, the main advantage of Solo 6 is that it fully automates what was previously a manual process. The system autonomously captures images, performs analysis based on site-specific edge detection settings, and presents the results as continuous trends. Additionally, Solo 6 integrates seamlessly with existing Process Control Systems through Modbus TCP or OPC UA, enabling automated data exchange, triggers, and reporting.

A two-stage assessment setup involves installing two Solo 6 units, one to monitor the crusher feed size and another for the product size. In this configuration, the product of one stage can serve as the feed for another crusher. This setup provides valuable comminution data, including size reduction metrics and other key performance indicators essential for plant optimization.

A single installation for feed control involves deploying Solo 6 to monitor the feed entering a SAG mill, jaw crusher, or any other type of crusher. In this setup, the system can integrate with existing process control systems to regulate the feed rate, thereby optimizing SAG mill bearing pressure, crusher throughput efficiency, size reduction assessment, and other key operational parameters.

Contact us, let discuss application based review, to answer your question about, how can WipWare system help us in solving this specific issue?

https://wipware.com/contact/