{"id":13580,"date":"2026-07-10T02:02:09","date_gmt":"2026-07-10T02:02:09","guid":{"rendered":"https:\/\/hlh-js.com\/?p=13580"},"modified":"2026-07-10T02:15:10","modified_gmt":"2026-07-10T02:15:10","slug":"estimate-pump-wear-rate-abrasive-slurry","status":"publish","type":"post","link":"https:\/\/hlh-js.com\/es\/resource\/blog\/estimate-pump-wear-rate-abrasive-slurry\/","title":{"rendered":"How to Estimate Pump Wear Rate for Abrasive Slurry: A Practical Engineering Guide"},"content":{"rendered":"<p><style>\r\n.hlh-pillar{font-family:'Segoe UI',system-ui,-apple-system,sans-serif;color:#25303D;line-height:1.85;max-width:860px;margin:0 auto;font-size:1rem}.hlh-pillar h1{font-size:2em;font-weight:800;color:#1C3D5A;line-height:1.25;margin:0 0 .4em;letter-spacing:-.02em}.hlh-pillar h2{font-size:1.42em;font-weight:700;color:#1C3D5A;margin:2.4em 0 .7em;padding-bottom:.4em;border-bottom:2px solid #DDE3EC;position:relative}.hlh-pillar 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class=\"hlh-back-link\" href=\"https:\/\/hlh-js.com\/resource\/blog\/pumps-for-abrasive-media\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u2190 Pumps for Abrasive Media: Complete Guide<\/a>\r\n<h1>How to Estimate Pump Wear Rate for Abrasive Slurry: A Practical Engineering Guide<\/h1>\r\n<div class=\"hlh-meta-bar\">\ud83d\udccc Published by <strong>Jiangsu Henglihong Technology Co., Ltd.<\/strong>\ud83d\uddd3 Updated: July 2026\u23f1 Reading time: approx. 12 min<\/div>\r\n<div class=\"hlh-lead\">\r\n<p>Knowing that your abrasive slurry pump will wear is inevitable. Knowing <em>how quickly<\/em> it will wear\u2014and predicting the maintenance schedule and spare parts budget that follow\u2014is the difference between a well-run pump system and a series of expensive surprises. Wear rate estimation transforms pump maintenance from reactive firefighting into a planned, budgeted engineering activity.<\/p>\r\n<p>This guide provides a practical methodology for estimating pump wear rate from first principles, converting that wear rate into liner service life, and calibrating predictions with field measurement data. For the broader context of wear mechanisms and prevention strategies, see: <a href=\"https:\/\/hlh-js.com\/resource\/blog\/how-abrasive-particles-damage-pumps\/\" target=\"_blank\" rel=\"noopener noreferrer\">How Abrasive Particles Damage Pumps: Wear Mechanisms Explained<\/a>.<\/p>\r\n<\/div>\r\n<nav class=\"hlh-toc\">\r\n<div class=\"hlh-toc__header\">Table of Contents<\/div>\r\n<ol>\r\n<li><a href=\"#why-predict\">Why Wear Rate Prediction Matters<\/a><\/li>\r\n<li><a href=\"#controlling-variables\">Variables That Determine Wear Rate<\/a><\/li>\r\n<li><a href=\"#miller-number\">The Miller Number and Slurry Abrasion Response Testing<\/a><\/li>\r\n<li><a href=\"#estimation-steps\">Step-by-Step Wear Rate Estimation<\/a><\/li>\r\n<li><a href=\"#service-life\">Converting Wear Rate to Service Life<\/a><\/li>\r\n<li><a href=\"#wear-by-media\">Indicative Wear Rates by Abrasive Media Type<\/a><\/li>\r\n<li><a href=\"#field-monitoring\">Field Monitoring to Calibrate Predictions<\/a><\/li>\r\n<li><a href=\"#wr-faq\">Preguntas frecuentes<\/a><\/li>\r\n<\/ol>\r\n<\/nav>\r\n<section id=\"why-predict\">\r\n<h2>1. Why Wear Rate Prediction Matters<\/h2>\r\n<p>A wear rate estimate answers the most operationally important question in abrasive pump management: &#8220;When do I need to change the liner?&#8221; Without a prediction, the facility either changes liners too frequently (wasting money on parts that still have service life) or too infrequently (running until catastrophic failure, with all associated secondary damage and downtime costs).<\/p>\r\n<p>Wear rate prediction enables three specific management actions:<\/p>\r\n<ul>\r\n<li><strong>Planned maintenance scheduling:<\/strong> Schedule liner changes as planned shutdowns during low-demand periods rather than as emergency events during production peaks<\/li>\r\n<li><strong>Spare parts inventory sizing:<\/strong> Carry the right quantity of liners and impellers without over-investing in stock \u2014 for full inventory planning, see: <a href=\"https:\/\/hlh-js.com\/resource\/blog\/abrasive-media-pump-maintenance-guide\/\" target=\"_blank\" rel=\"noopener noreferrer\">Abrasive Media Pump Maintenance Guide<\/a><\/li>\r\n<li><strong>Total cost of ownership modeling:<\/strong> Accurately project annual maintenance costs for pump procurement decisions \u2014 see: <a href=\"https:\/\/hlh-js.com\/resource\/blog\/total-cost-ownership-abrasive-media-pumps\/\" target=\"_blank\" rel=\"noopener noreferrer\">Total Cost of Ownership for Abrasive Media Pumps<\/a><\/li>\r\n<\/ul>\r\n<\/section>\r\n<section id=\"controlling-variables\">\r\n<h2>2. Variables That Determine Wear Rate<\/h2>\r\n<p>Pump wear rate in abrasive slurry service is determined by six primary variables. Understanding which variables you control (and which are fixed by the process) is the foundation of any wear reduction strategy.<\/p>\r\n<div class=\"hlh-table-wrap\">\r\n<table class=\"hlh-table\">\r\n<thead>\r\n<tr>\r\n<th>Variable<\/th>\r\n<th>Effect on Wear Rate<\/th>\r\n<th>Typical Range<\/th>\r\n<th>Controllable?<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Particle velocity (impeller tip speed)<\/td>\r\n<td>Proportional to v\u00b2 to v\u00b3 \u2014 dominant effect<\/td>\r\n<td>5\u201325 m\/s tip speed<\/td>\r\n<td>Yes \u2014 via speed control \/ VFD<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Particle hardness (Mohs)<\/td>\r\n<td>Near-linear above material threshold<\/td>\r\n<td>3\u20139 Mohs<\/td>\r\n<td>No (process-determined)<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Particle size (d50 and d95)<\/td>\r\n<td>Larger particles \u2192 more energy per impact<\/td>\r\n<td>10 \u03bcm \u2013 50 mm<\/td>\r\n<td>Partially (upstream classification)<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Forma de las part\u00edculas<\/td>\r\n<td>Angular 2\u20134\u00d7 more aggressive than rounded<\/td>\r\n<td>Rounded to angular<\/td>\r\n<td>Media selection only<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Solids concentration (Cw)<\/td>\r\n<td>Sub-linear increase above ~15% Cw<\/td>\r\n<td>5\u201370% w\/w<\/td>\r\n<td>Partially (dilution possible)<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Pump material hardness<\/td>\r\n<td>Higher material hardness \u2192 lower wear rate<\/td>\r\n<td>35 Shore A \u2013 800 HB<\/td>\r\n<td>Yes \u2014 materials selection<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<p>Of these, <strong>particle velocity is by far the most controllable and most impactful variable<\/strong>. Because wear rate scales approximately with velocity cubed, a 20% reduction in impeller tip speed reduces wear rate by approximately 50%. This is why operating at the minimum adequate speed \u2014 using a VFD \u2014 is the highest-return intervention available in any abrasive pump application. For the full speed optimization methodology, see: <a href=\"https:\/\/hlh-js.com\/resource\/blog\/optimal-rpm-flow-rate-abrasive-media-pumps\/\" target=\"_blank\" rel=\"noopener noreferrer\">Optimal RPM &amp; Flow Rate for Abrasive Media Pumps<\/a>.<\/p>\r\n<\/section>\r\n<section id=\"miller-number\">\r\n<h2>3. The Miller Number and Slurry Abrasion Response Testing<\/h2>\r\n<p>The most widely used laboratory-based approach to quantifying slurry abrasivity is the <strong>Miller Number<\/strong> (also called Slurry Abrasion Response \u2014 SAR), developed by the Miller Research Group and standardized in ASTM G75. The test uses a block of a standardized reference material (natural rubber) sliding against a wet abrasive sample for a defined duration. The Miller Number is calculated from the mass loss of the rubber block under standardized conditions.<\/p>\r\n<p>Miller Number values range from near 0 (essentially non-abrasive slurries such as kaolin clay) to over 200 (highly abrasive slurries such as quartzite at high concentration). Some reference values:<\/p>\r\n<ul>\r\n<li><strong>Miller Number &lt; 20:<\/strong> Low abrasivity \u2014 most pump materials provide acceptable service life<\/li>\r\n<li><strong>Miller Number 20\u201350:<\/strong> Moderate abrasivity \u2014 wear rate planning required; rubber liners viable<\/li>\r\n<li><strong>Miller Number 50\u2013100:<\/strong> High abrasivity \u2014 aggressive wear management needed; high-chrome preferred<\/li>\r\n<li><strong>Miller Number &gt; 100:<\/strong> Very high abrasivity \u2014 maximum-hardness materials required; consult specialist<\/li>\r\n<\/ul>\r\n<p>The Miller Number is particularly useful because it characterizes the combined effect of all particle properties (hardness, size, shape, concentration) in a single test value, allowing direct comparison of different slurries without requiring individual measurement of each variable. However, the test requires a laboratory sample of the slurry \u2014 it cannot be performed from data alone. Pump manufacturers and specialty testing laboratories offer Miller Number testing as a service.<\/p>\r\n<div class=\"hlh-callout hlh-callout--blue\">\r\n<p><strong>Practical Note<\/strong>If you cannot access Miller Number testing, request wear life data directly from your pump manufacturer for the closest available reference slurry to your application. Reputable manufacturers maintain application databases with field wear rate data from thousands of installed pumps, organized by industry and ore\/mineral type.<\/p>\r\n<\/div>\r\n<\/section>\r\n<section id=\"estimation-steps\">\r\n<h2>4. Step-by-Step Wear Rate Estimation<\/h2>\r\n<p>Where laboratory testing is not available, a first-principles estimation can be built from available process data using the following steps:<\/p>\r\n<ol class=\"hlh-step-list\">\r\n<li>\r\n<div>\r\n<div class=\"hlh-step-title\">Gather particle data<\/div>\r\n<p>Obtain (from your abrasive media supplier or process laboratory): d50 and d95 particle size, particle hardness (Mohs), particle shape descriptor (rounded, semi-angular, angular), and solids concentration (% w\/w and % v\/v). If handling certified abrasive media, the supplier&#8217;s certificate of conformance provides hardness and size data directly.<\/p>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div>\r\n<div class=\"hlh-step-title\">Determine impeller tip velocity<\/div>\r\n<p>Calculate from the pump&#8217;s rotational speed (RPM) and impeller diameter:<\/p>\r\n<div class=\"hlh-formula\">v_tip = \u03c0 \u00d7 D \u00d7 N \/ 60 (m\/s)<br \/>where D = impeller OD in meters, N = RPM<\/div>\r\n<p>This is the maximum fluid velocity in the pump and the dominant driver of erosion rate.<\/p>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div>\r\n<div class=\"hlh-step-title\">Apply relative wear factors<\/div>\r\n<p>Apply multiplicative correction factors relative to a baseline scenario (quartz sand, Mohs 7, angular, 30% w\/w, 10 m\/s tip speed = Factor 1.0):<\/p>\r\n<ul>\r\n<li>Particle hardness factor: Mohs 5 = 0.3\u00d7, Mohs 6 = 0.55\u00d7, Mohs 7 = 1.0\u00d7, Mohs 8 = 1.8\u00d7, Mohs 9 = 3.0\u00d7<\/li>\r\n<li>Particle shape factor: rounded = 0.4\u00d7, semi-angular = 0.7\u00d7, angular = 1.0\u00d7<\/li>\r\n<li>Velocity factor: (actual tip speed \/ 10 m\/s)^2.5<\/li>\r\n<li>Concentration factor: (Cw \/ 0.30)^0.7<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div>\r\n<div class=\"hlh-step-title\">Estimate absolute wear rate from a reference data point<\/div>\r\n<p>Obtain a field wear rate for a reference condition from your pump manufacturer (e.g., &#8220;high-chrome liner life = 800 hours at 12 m\/s tip speed, quartz sand at 35% w\/w, angular&#8221;). Apply your relative factors to scale from this reference to your actual conditions.<\/p>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div>\r\n<div class=\"hlh-step-title\">Add safety margin and validate<\/div>\r\n<p>Apply a safety factor of 0.7\u20130.8 (reduce predicted service life by 20\u201330%) to account for process variability and data uncertainty. Plan the first liner inspection at 70% of predicted life, then adjust the schedule based on actual wear measurement.<\/p>\r\n<\/div>\r\n<\/li>\r\n<\/ol>\r\n<\/section>\r\n<section id=\"service-life\">\r\n<h2>5. Converting Wear Rate to Service Life<\/h2>\r\n<p>Once you have a wear rate estimate \u2014 expressed as mm of liner wall thickness removed per 1,000 operating hours \u2014 converting to service life is straightforward:<\/p>\r\n<div class=\"hlh-formula\">Service Life (hours) = Available Wear Allowance (mm) \/ Wear Rate (mm per 1,000 hr) \u00d7 1,000<\/div>\r\n<p>For example: a high-chrome liner with 25 mm original wall thickness and a minimum safe wall thickness of 12 mm has a wear allowance of 13 mm. At a wear rate of 5 mm per 1,000 hours, service life is (13\/5) \u00d7 1,000 = 2,600 hours.<\/p>\r\n<p>In practice, wear rate is not perfectly uniform across the liner surface. The zones facing maximum flow velocity (lower volute, discharge throat) wear faster than zones in lower-velocity regions. For this reason, schedule the first physical inspection at 60\u201370% of calculated service life, measure wall thickness at multiple points, identify the thinnest location, and recalculate remaining life from actual measurement data rather than relying solely on the initial prediction.<\/p>\r\n<div class=\"hlh-callout hlh-callout--green\">\r\n<p><strong>Converting to Annual Maintenance Cost<\/strong>Once service life in hours is known: divide annual operating hours by service life (hours per liner set) to get annual liner replacement events. Multiply by (liner cost + labor cost per replacement) to get annual maintenance cost. This feeds directly into your TCO model.<\/p>\r\n<\/div>\r\n<\/section>\r\n<section id=\"wear-by-media\">\r\n<h2>6. Indicative Wear Rates by Abrasive Media Type<\/h2>\r\n<p>The following table provides indicative service life ranges for high-chrome alloy liners under typical operating conditions. These are reference ranges only \u2014 actual values depend critically on impeller tip speed, concentration, and specific ore\/mineral properties.<\/p>\r\n<div class=\"hlh-table-wrap\">\r\n<table class=\"hlh-table\">\r\n<thead>\r\n<tr>\r\n<th>Abrasive Media Type<\/th>\r\n<th>Dureza Mohs<\/th>\r\n<th>Forma de las part\u00edculas<\/th>\r\n<th>Typical High-Chrome Liner Life<\/th>\r\n<th>Typical Rubber Liner Life<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Steel shot (blasting)<\/td>\r\n<td>5.5\u20136.5<\/td>\r\n<td>Rounded<\/td>\r\n<td>1,500\u20134,000 hrs<\/td>\r\n<td>1,000\u20133,000 hrs<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Steel grit (blasting)<\/td>\r\n<td>6-7<\/td>\r\n<td>Angular<\/td>\r\n<td>800\u20132,000 hrs<\/td>\r\n<td>400\u2013900 hrs<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Cuentas de vidrio<\/td>\r\n<td>5\u20135.5<\/td>\r\n<td>Rounded<\/td>\r\n<td>2,000\u20135,000 hrs<\/td>\r\n<td>2,000\u20136,000 hrs<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Garnet slurry<\/td>\r\n<td>7\u20137.5<\/td>\r\n<td>Angular<\/td>\r\n<td>600\u20131,500 hrs<\/td>\r\n<td>Not recommended<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Silica sand (fine)<\/td>\r\n<td>7<\/td>\r\n<td>Semi-angular<\/td>\r\n<td>800\u20132,000 hrs<\/td>\r\n<td>600\u20131,500 hrs<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Limestone slurry<\/td>\r\n<td>3<\/td>\r\n<td>Variable<\/td>\r\n<td>3,000\u20138,000 hrs<\/td>\r\n<td>2,000\u20136,000 hrs<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Alumina (Al\u2082O\u2083) slurry<\/td>\r\n<td>9<\/td>\r\n<td>Angular<\/td>\r\n<td>200\u2013600 hrs<\/td>\r\n<td>Not suitable<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Coal slurry (fine)<\/td>\r\n<td>2\u20133<\/td>\r\n<td>Rounded to semi<\/td>\r\n<td>4,000\u201310,000 hrs<\/td>\r\n<td>3,000\u20138,000 hrs<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/section>\r\n<section id=\"field-monitoring\">\r\n<h2>7. Field Monitoring to Calibrate and Refine Predictions<\/h2>\r\n<p>Initial wear rate predictions are estimates \u2014 actual wear rate in your specific installation depends on process variables that cannot be perfectly predicted. Field measurement is essential to calibrate and refine the prediction over the first two to three liner replacement cycles.<\/p>\r\n<ul>\r\n<li><strong>Ultrasonic thickness gauging:<\/strong> The primary field measurement tool. Measure liner wall thickness at 8\u201312 standardized points across the liner at each planned inspection. Record results in a tracking spreadsheet. Trend the rate of thickness loss over time to refine the wear rate estimate and project end-of-life timing with increasing accuracy.<\/li>\r\n<li><strong>Performance trending as indirect wear indicator:<\/strong> Track discharge pressure at constant speed and constant slurry density monthly. A steadily falling discharge pressure curve indicates increasing internal clearances from liner and impeller wear. Plot the rate of pressure decline and extrapolate to identify when performance will fall below process requirements \u2014 this provides an independent cross-check on the physical wear measurement.<\/li>\r\n<li><strong>First replacement cycle data:<\/strong> At the first liner replacement, record the actual operating hours, measured minimum remaining wall thickness, and the location of maximum wear. Use this data to recalculate actual wear rate and update your prediction and maintenance schedule for all subsequent cycles.<\/li>\r\n<\/ul>\r\n<p>After two to three replacement cycles with consistent measurement data, your wear rate prediction will have converged to actual conditions and your maintenance schedule will be accurate within \u00b110\u201315% of true service life \u2014 a level of precision that supports confident planned maintenance and spare parts management.<\/p>\r\n<\/section>\r\n<hr class=\"hlh-hr\" \/>\r\n<section id=\"wr-faq\">\r\n<h2>Preguntas frecuentes<\/h2>\r\n<div class=\"hlh-faq-item\">\r\n<div class=\"hlh-faq-q\">Is the Miller Number the same as Mohs hardness of the particle?<\/div>\r\n<div class=\"hlh-faq-a\">No. The Miller Number (ASTM G75 Slurry Abrasion Response) is a slurry-level property that captures the combined abrasivity of the complete slurry \u2014 particle hardness, size, shape, concentration, and carrier fluid all contribute. The Mohs hardness is a property of the individual particle material. A slurry of very hard particles at low concentration may have a lower Miller Number than a slurry of softer particles at very high concentration and angular shape. Both values are useful but provide different information \u2014 Mohs hardness drives material selection, while Miller Number enables comparative wear rate prediction.<\/div>\r\n<\/div>\r\n<div class=\"hlh-faq-item\">\r\n<div class=\"hlh-faq-q\">How accurate is a first-principles wear rate estimate without laboratory testing?<\/div>\r\n<div class=\"hlh-faq-a\">A first-principles estimate using the approach described in this guide typically provides accuracy within \u00b140\u201360% of actual wear rate in the first application. This is sufficient for initial maintenance planning \u2014 schedule inspections at 60% of the estimated service life, measure actual thickness, and refine from there. After two replacement cycles with field measurement data, accuracy improves to \u00b115\u201325%. For high-value applications (expensive liners, high production value at risk), invest in Miller Number testing to achieve better first-cycle accuracy.<\/div>\r\n<\/div>\r\n<div class=\"hlh-faq-item\">\r\n<div class=\"hlh-faq-q\">Does wear rate change over the liner&#8217;s service life?<\/div>\r\n<div class=\"hlh-faq-a\">Yes, and typically in a way that accelerates end-of-life wear. As the liner wears and clearances open, fluid recirculation through the worn gap increases local fluid velocity at the gap faces, producing secondary wear that compounds the primary wear rate. Additionally, as liner wall thickness decreases, thermal conductivity through the liner wall decreases, potentially raising local temperatures and further affecting wear characteristics. In practice, the average wear rate over the first half of liner life is approximately 20\u201330% lower than the average wear rate over the second half \u2014 account for this when extrapolating from early inspection data to predict end-of-life timing.<\/div>\r\n<\/div>\r\n<div class=\"hlh-faq-item\">\r\n<div class=\"hlh-faq-q\">Does abrasive media quality affect wear rate prediction accuracy?<\/div>\r\n<div class=\"hlh-faq-a\">Significantly. Wear rate predictions assume that the particle hardness, size, and shape values used in the calculation are consistent throughout the production run. If the abrasive media source has batch-to-batch variation in hardness or size distribution, the actual wear rate will vary between batches, making predictions less accurate. Sourcing abrasive media with documented, certified specifications on every batch \u2014 including hardness range and sieve analysis \u2014 ensures that the particle data inputs to your wear rate model remain consistent, maintaining prediction accuracy over time.<\/div>\r\n<\/div>\r\n<\/section>\r\n<div class=\"hlh-cta-box\">\r\n<h2>Accurate Wear Rate Models Start with Consistent Abrasive Media<\/h2>\r\n<p>Jiangsu Henglihong Technology Co., Ltd. provides certified steel shot, steel grit, glass beads, and aluminum cut wire shot with batch-level hardness documentation and sieve analysis certificates. Consistent, certified media gives your wear rate model the reliable particle data it needs to produce accurate maintenance forecasts.<\/p>\r\n<a class=\"hlh-cta-btn\" href=\"https:\/\/hlh-js.com\/contact\/\" target=\"_blank\" rel=\"noopener noreferrer\">Request Certifications &amp; Quotation \u2192<\/a><\/div>\r\n<div class=\"hlh-related\">\r\n<div class=\"hlh-related__title\">Related Resources<\/div>\r\n<ul>\r\n<li><a href=\"https:\/\/hlh-js.com\/resource\/blog\/pumps-for-abrasive-media\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pumps for Abrasive Media: The Complete Guide<\/a><\/li>\r\n<li><a href=\"https:\/\/hlh-js.com\/resource\/blog\/how-abrasive-particles-damage-pumps\/\" target=\"_blank\" rel=\"noopener noreferrer\">How Abrasive Particles Damage Pumps<\/a><\/li>\r\n<li><a href=\"https:\/\/hlh-js.com\/resource\/blog\/optimal-rpm-flow-rate-abrasive-media-pumps\/\" target=\"_blank\" rel=\"noopener noreferrer\">Optimal RPM &amp; Flow Rate for Abrasive Media Pumps<\/a><\/li>\r\n<li><a href=\"https:\/\/hlh-js.com\/resource\/blog\/abrasive-media-pump-maintenance-guide\/\" target=\"_blank\" rel=\"noopener noreferrer\">Abrasive Media Pump Maintenance Guide<\/a><\/li>\r\n<li><a href=\"https:\/\/hlh-js.com\/resource\/blog\/total-cost-ownership-abrasive-media-pumps\/\" target=\"_blank\" rel=\"noopener noreferrer\">Total Cost of Ownership for Abrasive Media Pumps<\/a><\/li>\r\n<li><a href=\"https:\/\/hlh-js.com\/resource\/blog\/pump-materials-abrasive-media\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pump Materials: Chrome vs. Rubber vs. Ceramic<\/a><\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/div>\r\n<p><script type=\"application\/ld+json\">{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"Article\",\n    \"headline\": \"How to Estimate Pump Wear Rate for Abrasive Slurry: A Practical Engineering Guide\",\n    \"datePublished\": \"2026-07-01\",\n    \"dateModified\": \"2026-07-01\",\n    \"author\": {\n        \"@type\": \"Organization\",\n        \"name\": \"Jiangsu Henglihong Technology Co., Ltd.\",\n        \"url\": \"https:\\\/\\\/hlh-js.com\"\n    },\n    \"publisher\": {\n        \"@type\": \"Organization\",\n        \"name\": \"Jiangsu Henglihong Technology Co., Ltd.\",\n        \"url\": \"https:\\\/\\\/hlh-js.com\"\n    },\n    \"mainEntityOfPage\": {\n        \"@type\": \"WebPage\",\n        \"@id\": \"https:\\\/\\\/hlh-js.com\\\/resource\\\/blog\\\/estimate-pump-wear-rate-abrasive-slurry\\\/\"\n    }\n}<\/script><\/p>","protected":false},"excerpt":{"rendered":"<p>\u2190 Pumps for Abrasive Media: Complete Guide How to Estimate  [&#8230;]<\/p>","protected":false},"author":1,"featured_media":13582,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,175,138],"tags":[],"class_list":["post-13580","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-industry","category-resource"],"_links":{"self":[{"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/posts\/13580","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/comments?post=13580"}],"version-history":[{"count":3,"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/posts\/13580\/revisions"}],"predecessor-version":[{"id":13622,"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/posts\/13580\/revisions\/13622"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/media\/13582"}],"wp:attachment":[{"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/media?parent=13580"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/categories?post=13580"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hlh-js.com\/es\/wp-json\/wp\/v2\/tags?post=13580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}