{"id":8503,"date":"2025-10-30T11:11:50","date_gmt":"2025-10-30T15:11:50","guid":{"rendered":"https:\/\/wipware.com\/?p=8503"},"modified":"2025-11-14T12:10:26","modified_gmt":"2025-11-14T17:10:26","slug":"evaluating-rock-comminution-from-pre-blast-to-post-blast-and-through-mineral-processing","status":"publish","type":"post","link":"https:\/\/wipware.com\/de\/evaluating-rock-comminution-from-pre-blast-to-post-blast-and-through-mineral-processing\/","title":{"rendered":"Evaluating Rock Comminution Pre-Blast to Post-Blast and Through Mineral Processing"},"content":{"rendered":"

The Need for Energy Efficiency Assessment in Blasting<\/strong><\/h3>\n\n\n\n

In today\u2019s mining and quarrying operations, energy efficiency remains one of the most pressing challenges. Blasting, being the first step in the comminution process, consumes a significant portion of total energy in mineral production. Yet, the true measure of blasting efficiency is not merely how rock is broken, but how well the resulting fragmentation supports downstream processes such as crushing and grinding.<\/p>\n\n\n\n

A tool is therefore needed to assess and quantify the energy utilization in blasting, specifically through fragmentation analysis. By analyzing fragmented rock sizes in terms of percentage passing, engineers can evaluate how effectively a particular blast design converted explosive energy into rock breakage. Since controllable parameters such as burden, spacing, charge distribution, and initiation timing govern how explosive energy is distributed within the rock mass, understanding fragmentation helps determine how these parameters interact with uncontrollable factors like rock structure and discontinuities.<\/p>\n\n\n\n

WipWare: The Global Ruler for Rock Size Assessment<\/strong><\/h3>\n\n\n\n

WipWare Inc. is well known as the world leader in rock size measurement and fragmentation analysis. Known as the ruler for rock size assessment<\/em>, WipWare provides innovative tools<\/a> that quantify particle size distributions (PSD) from pre-blast through post-blast and into mineral processing stages, creating a continuous feedback loop for process optimization.<\/p>\n\n\n

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\"Dynamic<\/figure>\n<\/div>\n\n\n

Pre-Blast Assessment with WipJoint<\/strong><\/h3>\n\n\n\n

Understanding the geological conditions before blasting is crucial for predicting fragmentation outcomes. To bridge the gap between rock mass discontinuity and fragmentation potential, WipWare re-introduced WipJoint, a technology developed in 1990 by Dr. Norbert Maerz, Dr. John Franklin, and Dr. Tom Palangio.<\/p>\n\n\n\n

WipJoint enables users to assess rock joint apparent spacing, apparent orientation, RQD and apparent in-situ block size from digital images of rock faces. This pre-blast information is invaluable for correlating structural conditions with post-blast fragmentation results. By analyzing joint characteristics, mining engineers can refine their blast design to ensure optimal energy distribution within the rock mass, thereby improving fragmentation and reducing energy waste in subsequent comminution stages.<\/p>\n\n\n

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\"Pre<\/figure>\n<\/div>\n\n\n

Post-Blast Fragmentation Analysis with WipFrag<\/strong><\/h3>\n\n\n\n

Once blasting is completed, WipFrag<\/a> provides the most reliable and efficient means for evaluating fragmentation results. Using advanced image analysis, WipFrag calculates the particle size distribution (PSD) of fragmented rock piles and compares the results to target sizes such as the primary crusher\u2019s gape.<\/p>\n\n\n\n

This capability allows for quantitative comparison between different blast designs, helping to identify which parameters yield the best fragmentation for energy efficiency and crusher compatibility. With tools like specification envelopes and boulder detection, WipFrag makes it possible to assess whether the blast produced the desired material size and shape for downstream processes.<\/p>\n\n\n\n

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Material Assessment During Haulage with Reflex 6<\/strong><\/h3>\n\n\n\n

Fragmentation control doesn\u2019t stop at the muck pile. During haulage, WipWare’s Reflex<\/a> extends analysis to every truckload of material. Equipped with high-resolution cameras and an onboard computer, Reflex captures real-time images of material in transit, either while loaded on the truck or when being dumped at the crusher hopper or stockpile.<\/p>\n\n\n\n

This technology enables continuous monitoring of material quality from each blast bench, providing operators with valuable data on fragmentation size, shape, uniformity and ore type variation. The Reflex system thus acts as vehicle load assessment platform, ensuring that no load goes unanalyzed.<\/p>\n\n\n

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\"Rocks<\/figure>\n<\/div>\n\n\n

Conveyor Belt Monitoring and Process Optimization with Solo 6<\/strong><\/h3>\n\n\n\n

At the mineral processing stage, WipWare Solo<\/a> revolutionizes comminution monitoring. Installed over conveyor belts, Solo continuously analyzes the size distribution of material feeding the crusher or exiting as product. This intelligent system provides live feedback to operators, empowering them to make real-time decisions for process optimization.<\/p>\n\n\n\n

Solo integrates seamlessly with existing process control systems such as Modbus TCP and OPC UA, allowing direct communication with plant control networks. This enables automatic crusher gap adjustment, SAG mill feed control, and load balancing, ensuring that the plant operates within optimal limits.<\/p>\n\n\n\n

By maintaining consistent feed size and adjusting operational parameters accordingly, Solo helps minimize bearing pressure, reduce liner wear, improve throughput, and enhance overall energy efficiency throughout the comminution circuit.<\/p>\n\n\n\n

WipWare technology provides a fully integrated suite of solutions that cover every stage of the comminution chain, from pre-blast geological assessment (WipJoint), through post-blast fragmentation evaluation (WipFrag), haulage assessment (Reflex), and processing control (Solo). By quantifying and connecting each step, WipWare enables mines to measure, monitor, and optimize energy use across the entire operation. The result is smarter blasting, improved crusher efficiency, and a more sustainable approach to mineral processing, achieving the ultimate goal of energy-efficient comminution.<\/p>\n\n\n

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\"Image<\/figure>\n<\/div>\n\n\n

Mine-to-Crusher Application of WipWare Solutions<\/strong>: Case Study at dstgroup Quarry<\/strong><\/h3>\n\n\n\n

This study presents the third phase of a three-part research series focused on optimizing the interface between blasting and primary crushing operations at dstgroup aggregate quarry in Portugal<\/a>, using WipWare solutions. The central goal is to improve fragmentation outcomes to better align particle size distribution (PSD) with crusher requirements, thereby reducing energy consumption and enhancing operational efficiency.<\/p>\n\n\n\n

Building on the baseline methodology developed in Part 1, which incorporated 3D bench modeling and borehole surveys to assess blast compatibility with crusher specifications, the study identified discrepancies between predicted and actual fragmentation results. Part 2 applied targeted adjustments, such as reducing subdrill depth and altering stemming material, achieving measurable improvements in D80, maximum fragment size, and overall blast efficiency. However, boulder formation persisted in certain blast rows, prompting further optimization.<\/p>\n\n\n\n

In this phase, the team implemented remaining recommendations, including refined drill and blast patterns, increased stemming size (from D80 12 mm to 21 mm) and length (from 1.8\u202fm to 2\u202fm), improved drilling accuracy, and adjusted inter-hole timing. High-resolution drone imagery and point-by-point blast surveys were integrated into O-PitSurface simulations to evaluate blast performance. WipFrag<\/a> software was utilized for detailed particle size analysis, enabling comparison of fragmentation outcomes before and after design modifications.<\/p>\n\n\n\n

Results demonstrated significant gains: D50 decreased by 19%, D80 and D95 by 20% and 23%, respectively, and maximum particle size reduced by 3%, indicating better control over oversized material. Fragmentation efficiency improved by over 21%, and the uniformity index increased by 16%, reflecting more consistent and predictable PSD. Adjustments to stemming material and length enhanced energy confinement, minimizing premature blowout and promoting even energy distribution throughout the blast column.<\/p>\n\n\n\n

Run-of-mine monitoring with the Reflex system above the primary crusher provided real-time PSD analysis, confirming continuous improvement in fragmentation and crusher feed consistency. Over a six-month period, key size distribution metrics consistently trended downward, validating the effectiveness of iterative blast parameter adjustments and demonstrating the value of data-driven, integrated mine-to-crusher strategies.<\/p>\n\n\n\n

In conclusion, the study illustrates how WipWare solutions, including WipFrag, Reflex, and O-PitSurface, enable quarry operations to optimize fragmentation, reduce oversize and fines, improve crusher compatibility, and enhance overall operational efficiency. The mine-to-crusher framework serves as a replicable model for energy-efficient, predictable, and high-performance blast-to-crusher integration.<\/p>\n\n\n

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\"Results<\/figure>\n<\/div>\n\n
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\"Result<\/figure>\n<\/div>\n\n\n

Read Full paper here: Mine to Crusher Framework for Quarries<\/a><\/p>","protected":false},"excerpt":{"rendered":"

The Need for Energy Efficiency Assessment in Blasting In today\u2019s mining and quarrying operations, energy efficiency remains one of the most pressing challenges. Blasting, being the first step in the comminution process, consumes a significant portion of total energy in mineral production. Yet, the true measure of blasting efficiency is not merely how rock is […]<\/p>\n","protected":false},"author":6,"featured_media":8521,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[49,48,37,72],"tags":[],"class_list":["post-8503","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-reflex","category-solo","category-wipfrag","category-wipware"],"acf":{"related_posts":[{"ID":479,"post_author":"6","post_date":"2026-03-10 10:00:00","post_date_gmt":"2026-03-10 14:00:00","post_content":"\n

<\/path><\/svg><\/span><\/span>Estimated reading time: <\/span>4<\/span> minutes<\/span><\/p>\n\n\n\n\n\n

WipWare <\/a>has been in the image analysis business for over 30 years commercially. We\u2019ve seen a wide range of mining and aggregate sites, all with their unique challenges. One thing that stays consistent with every operation is the need to reduce particle sizes to ideal sizes for either the extraction of minerals, or for more practical uses (road building, etc.)<\/p>\n\n\n\n

Blasting, crushing and grinding material down to an optimal size is difficult to do. When you tie in trying to be efficient at the same time, production rates can fluctuate quite easily. It\u2019s very hard to track how well the \u2018rock breaking\u2019 is going.<\/p>\n\n\n\n

Queue sieving!<\/h2>\n\n\n\n

Manual sieving has been around for thousands of years. Nowadays, the accuracy of these sieve analysis methods is quite impressive: stop your belt, take a cut, bring material to the lab, put it in the sieve shaker, and voila! In a few hours you have your result. What could be better?<\/p>\n\n\n\n

Well, let\u2019s back it up a little and investigate. Manual sieve samples are very accurate for the sample itself. However, if you use manual sampling to track, say, relative changes, you are putting a lot of faith in that one belt cut of material representing hundreds\/thousands of tons of material.<\/p>\n\n\n\n

Manual Sieving vs Continuous Monitoring <\/h2>\n\n\n\n

You may notice why WipWare systems are really taking a hold in the mining and aggregate industries:<\/strong> No one will ever argue that a manually sieving a sample is not accurate; but here is a scenario I want you to consider:<\/p>\n\n\n\n

You take a sample of a 1-meter belt cut every shift for analysis. When the crusher supplier asks for the material size going into the secondary crusher, you hand him\/her the beautiful distribution curves with the data points in the Excel file. Based on the data, he\/she decides \u201cbased on your material size, you need this kind of crusher\/liner\/product\u201d.<\/p>\n\n\n\n

Do those manual samples accurately represent the hundreds or thousands of tons passing through your process? What if the sample you took happened to be finer than what was typical? Chances are, as granulometry guru Jack Eloranta, of Eloranta & Associates<\/a> calculates, misrepresentation could be possible.<\/p>\n\n\n\n

Take a look:<\/p>\n\n\n\n

Assume:<\/p>\n\n\n\n

400 TPH<\/p>\n\n\n\n

6 m\/s<\/p>\n\n\n\n

1 meter belt sample per shift<\/p>\n\n\n\n

Belt travels 1 meter in 0.17 seconds<\/p>\n\n\n\n

0.17 sec x 1 hr\/3600 sec x 400 t\/hr = .019 tons <\/p>\n\n\n\n

.019 t\/(8 x 400) t = .0000059<\/p>\n\n\n\n

Really, when you look at how representative a manual sample is, you are looking at 0.00059% of your conveyor material in this example.<\/p>\n\n\n\n

With a percentage like that, I\u2019ll take continuous, non-disruptive particle sizing any day.<\/p>\n\n\n\n

So let\u2019s summarize so far: Manual sieving accurately measures the sampled material but may not represent the material continuously running through your process.<\/p>\n\n\n\n

What\u2019s WipWare\u2019s role in all of this?<\/strong><\/h2>\n\n\n\n

Well, it\u2019s really a complementary thing. WipWare is the ying to sieving\u2019s yang, the Sunny to sieving\u2019s Cher\u2026I\u2019ll stop now.<\/p>\n\n\n\n

\"Rock<\/figure>\n\n\n\n

WipWare\u2019s systems offer continuous monitoring of material. That\u2019s right. 24\/7\/365 analysis of the most important part of the mining process; the whole reason billions upon billions of dollars are spent each year; the reason why mine and mill employees have a love\/hate relationship \u2013 the size of material! Manual sieve results can be tied into the WipWare data using Rosin-Rammler or Swebrec functions, covering both the quantity of data needed for accurate analysis, with the quality manual sample information.<\/p>\n\n\n\n

WipWare\u2019s systems offer continuous monitoring of material. That\u2019s right. 24\/7\/365 analysis of the most important part of the mining process; the whole reason billions upon billions of dollars are spent each year; the reason why mine and mill employees have a love\/hate relationship \u2013 the size of material! Manual sieve results can be tied into the WipWare data using Rosin-Rammler or Swebrec functions, covering both the quantity of data needed for accurate analysis, with the quality manual sample information.<\/p>\n","post_title":"Continuous Monitoring Through Photoanalysis","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"open","post_password":"","post_name":"continuous-monitoring-through-photoanalysis","to_ping":"","pinged":"","post_modified":"2026-03-10 10:02:54","post_modified_gmt":"2026-03-10 14:02:54","post_content_filtered":"","post_parent":0,"guid":"http:\/\/wipware.com\/?p=479","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":8440,"post_author":"20","post_date":"2025-10-09 23:30:31","post_date_gmt":"2025-10-10 03:30:31","post_content":"\n

WipJoint is Back and Better Than Ever!<\/em><\/h3>\n\n\n\n

We\u2019re excited to announce the newest update to WipFrag 4<\/a> <\/strong>\u2013 bringing back and modernizing one of our most powerful features: WipJoint<\/strong>. WipJoint was originally part of WipFrag 2.7, but never reached the full functionality we wanted for it due to limitations with what software and camera hardware could do back in those days. Now with the added capabilities of today's technology we have reimagined and reintegrated this powerful tool into WipFrag to give you even more reasons to use WipFrag!<\/p>\n\n\n\n

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What\u2019s New in This Release:<\/strong><\/strong><\/h3>\n\n\n\n

WipJoint Returns<\/strong> \u2013 redesigned with an intuitive new interface for assessing highwalls, measuring Rock Quality Designation (RQD), mapping joint planes and persistence, and determining apparent orientation and in-situ block sizes.<\/p>\n\n\n\n

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Simply change to the WipJoint view on your analysis card by right-clicking on the chart (tap + hold for mobile).<\/em><\/p>\n\n\n\n

BlastCast Relocates<\/strong> \u2013 We've moved the selection for the BlastCast feature to the same analysis card chart options, next to WipJoint, for faster access and a cleaner workflow for our users.<\/p>\n\n\n\n

Three Aspects, One Platform<\/h3>\n\n\n\n

Now WipFrag lets you monitor 3 key aspects of your process:<\/strong><\/p>\n\n\n\n