Rolling resistance as a part of total resistance plays a

Similar documents
Ricardo-AEA. Passenger car and van CO 2 regulations stakeholder meeting. Sujith Kollamthodi 23 rd May

UNDERGROUND MINING. Mine hoist disc brake systems Improved safety, availability and productivity

ANNEXES. to the. Proposal for a Regulation of the European Parliament and of the Council

REPEATABILITY OF CPX TYRE/ROAD NOISE MEASUREMENTS. Gillian Adams, Frits Kamst and Stephen Pugh ASK Consulting Engineers, Brisbane, Australia

RIIMPO338D - Conduct Rigid Haul Truck Operations. The Complete Mine-Ready Training Package

SPE MS. Abstract

MANAGING MINE ROAD MAINTENANCE INTERVENTIONS USING MINE TRUCK ON-BOARD DATA

Abstract. General N BANDA

WLTP. Proposal for a downscaling procedure for the extra high speed phases of the WLTC for low powered vehicles within a vehicle class

Effect of driving pattern parameters on fuel-economy for conventional and hybrid electric city buses

KINEMATICAL SUSPENSION OPTIMIZATION USING DESIGN OF EXPERIMENT METHOD

AN ANALYSIS OF DRIVER S BEHAVIOR AT MERGING SECTION ON TOKYO METOPOLITAN EXPRESSWAY WITH THE VIEWPOINT OF MIXTURE AHS SYSTEM

Development of an actively controlled, acoustically optimised single arm pantograph

Study on System Dynamics of Long and Heavy-Haul Train

Relating your PIRA and PUMA test marks to the national standard

Relating your PIRA and PUMA test marks to the national standard

Improving CERs building

The Influence of the Phase Difference between the Crank Angle of the Pilot and that of the Stoker on the Drag Acting on a Tandem Bike

Mouse Trap Racer Scientific Investigations (Exemplar)

Method for the estimation of the deformation frequency of passenger cars with the German In-Depth Accident Study (GIDAS)

IMnI s 5 th OHES Workshop April 28-30, 2014 CaraJas - Brazil. Dr Doreen McGough OHES Manager, IMnI

Brain on Board: From safety features to driverless cars

Ronnie van Eeden. Senior Mining Engineer. Overview

Effect of driving patterns on fuel-economy for diesel and hybrid electric city buses

Chapter 7: Thermal Study of Transmission Gearbox

Propeller Blade Bearings for Aircraft Open Rotor Engine

Featured Articles Utilization of AI in the Railway Sector Case Study of Energy Efficiency in Railway Operations

Index. The Benefits of Experience 2. Design and Manufacture 3. Quality 3. Slides and Hooks 4-7. Gambrels & S Hooks 8. Beef Rollers 9.

ENGINEERING FOR RURAL DEVELOPMENT Jelgava,

Fuel Cell Application in a New Configured Aircraft PUBLISHABLE REPORT

EN 1 EN. Second RDE LDV Package Skeleton for the text (V3) Informal EC working document

Modal Analysis of Automobile Brake Drum Based on ANSYS Workbench Dan Yang1, 2,Zhen Yu1, 2, Leilei Zhang1, a * and Wentao Cheng2

Technical Report TR

A R T I C L E S E R I E S

Running Vehicle Emission Factors of Passenger Cars in Makassar, Indonesia

Save-the-date: Workshop on batteries for electric mobility

Hans-Paul Siderius Chairperson 4E. London, 14 September 2010

Efficient Electrification Initiative Update

SOME ISSUES OF THE CRITICAL RATIO DISPATCH RULE IN SEMICONDUCTOR MANUFACTURING. Oliver Rose

Investigating the Concordance Relationship Between the HSA Cut Scores and the PARCC Cut Scores Using the 2016 PARCC Test Data

CHANGE IN DRIVERS PARKING PREFERENCE AFTER THE INTRODUCTION OF STRENGTHENED PARKING REGULATIONS

Conventional Approach

S&C: Understanding Root Causes & Assessing Effective Remedies C4R Final Dissemination Event, Paris 15 th March 2017

European Tyre and Rim Technical Organisation RETREADED TYRES IMPACT OF CASING AND RETREADING PROCESS ON RETREADED TYRES LABELLED PERFORMANCES

Research in hydraulic brake components and operational factors influencing the hysteresis losses

Is Low Friction Efficient?

Appendix B STATISTICAL TABLES OVERVIEW

Hours of Service (HOS)

Special edition paper

SHC Swedish Centre of Excellence for Electromobility

EFFECT OF TRUCK PAYLOAD WEIGHT ON PRODUCTION

Keywords: Dual vs. Single Wheels, Brake Temperatures, Brake Heating and Cooling

Potential for Improving the Relationship between ANCAP Ratings and Real World Data Derived Crashworthiness Ratings

Selection of Shaft Hoisting or Decline Trucking for Underground Mines

A comparative analysis of the performance of heavy vehicle combinations from OECD member countries by computer simulation.

INTERNATIONAL JOURNAL OF APPLIED ENGINEERING RESEARCH, DINDIGUL Volume 1, No 4, 2011

BULK MATERIAL HANDLING SYSTEM

ecotechnology for Vehicles Program (etv II) 2012 Tire Technology Expo, Cologne, Germany February 14, 2012 RDIMS #

Cochran Undersea Technology

Dynamical systems methods for evaluating aircraft ground manoeuvres

Case Study Involving Surface Durability and Improved Surface Finish

White paper: Pneumatics or electrics important criteria when choosing technology

Keywords: Performance-Based Standards, Car-Carrier, Maximum of Difference, Frontal Overhang

WET GRIP TEST METHOD IMPROVEMENT for Passenger Car Tyres (C1) GRBP 68 th session

AN OPTIMAL PROFILE AND LEAD MODIFICATION IN CYLINDRICAL GEAR TOOTH BY REDUCING THE LOAD DISTRIBUTION FACTOR

Synthetic Gear Oil Selection Dennis Lauer

CSA What You Need to Know

MODELING SUSPENSION DAMPER MODULES USING LS-DYNA

DG CLIMA studies on CO2 emissions from vehicles

1. Tolerance Allocation to Optimize Process Capability

Improving Roadside Safety by Computer Simulation

Stopping water truck related uncontrolled movements on mine haul roads

Modification of IPG Driver for Road Robustness Applications

A study on aerodynamic drag of a semi-trailer truck

Finite Element Analysis on Thermal Effect of the Vehicle Engine

OMICS Group International is an amalgamation of Open Access publications

Acceleration Behavior of Drivers in a Platoon

Optimising Thermoelectric Cooler Modules in a System

SINGLE-PHASE CONVECTIVE HEAT TRANSFER AND PRESSURE DROP COEFFICIENTS IN CONCENTRIC ANNULI

DRIVER SPEED COMPLIANCE WITHIN SCHOOL ZONES AND EFFECTS OF 40 PAINTED SPEED LIMIT ON DRIVER SPEED BEHAVIOURS Tony Radalj Main Roads Western Australia

Shape optimisation of a railway wheel profile

THE REAL-WORLD SMART CHARGING TRIAL WHAT WE VE LEARNT SO FAR

Deploying Power Flow Control to Improve the Flexibility of Utilities Subject to Rate Freezes and Other Regulatory Restrictions

The Proven Industry Leader in Ergonomics and Accuracy. The VWR UHP Pipettor was superior in all of the test categories.

HERCULES-2 Project. Deliverable: D8.8

THE INFLUENCE OF TRENDS IN HEAVY VEHICLE TRAVEL ON ROAD TRAUMA IN THE LIGHT VEHICLE FLEET

NordTyre - the potential for noise reduction using less noisy tyres and road surfaces

Non-contact Deflection Measurement at High Speed

SUMMARY OF THE IMPACT ASSESSMENT

Superior Performance. VISCOPLEX ADDITIVES FOR MOBILE HYDRAULIC EQUIPMENT

Gauge Face Wear Caused with Vehicle/Track Interaction

Analysis and evaluation of a tyre model through test data obtained using the IMMa tyre test bench

Investigation of Relationship between Fuel Economy and Owner Satisfaction

PV inverters in a High PV Penetration scenario Challenges and opportunities for smart technologies

Chapter 5 ESTIMATION OF MAINTENANCE COST PER HOUR USING AGE REPLACEMENT COST MODEL

ThyssenKrupp Tailored Blanks door benchmark study.

Fuelling the discussion: A view on how to manage fuel cost. Luc Dendievel, Director Category Team Fleet EMEA

Reliability and Validity of Seat Interface Pressure to Quantify Seating Comfort in Motorcycles

A multi-model approach: international electric vehicle adoption

Excessive speed as a contributory factor to personal injury road accidents

Transcription:

Rolling resistance plays a critical role in fuel consumption of mining haul trucks A. Soofastaei, L. Adair, S.M. Aminossadati, M.S. Kizil and P. Knights Mining3, The University of Queensland Australia. Rolling resistance as a part of total resistance plays a critical role in the productivity, fuel consumption, gas emissions, maintenance and safety of haul truck operations in surface mines. This article aims to identify the most influential parameters on rolling resistance and complete an investigation about the effect of these parameters on the fuel consumption of haul trucks. In this project, a comprehensive literature review has been completed to identify the parameters that are influential on rolling resistance. Through that process, 15 parameters have been identified and an online survey conducted to determine the most influential of these parameters on rolling resistance, based on the knowledge and experience of a number of professionals within the mining and haul road industries. In this survey, 50 industry personnel have been contacted with a 76% response rate. The results of the survey have shown that road maintenance, tyre pressure and truck speed are the most important effective parameters on rolling resistance. As a case study, a computer model based on the nonlinear regression method has been created to find the correlation between fuel consumption and the most influential parameters on rolling resistance in a large coal surface mine in central Queensland, Australia. The results of the case study indicated that by decreasing the maintenance interval, increasing tyre pressure and decreasing truck speed, the fuel consumption of haul trucks can be decreased. It means that there are a lot of energy efficiency opportunities in haulage operation through the controlling some effective parameters on rolling resistance. This research has been conducted by a group of researchers at Mining3 and the University of Queensland Australia. Keywords: Rolling Resistance; Haul Truck; Surface Mine; Fuel Consumption 1

Rolling resistance is defined as a measure of the force required to overcome the retarding effect between the tyres and road 1 and is commonly represented by a rolling resistance coefficient, which can be determined by dividing the rolling resistance by the normal force applied to a truck tyre. Figure 1 presents a schematic diagram of a truck tyre and some of the parameters affecting rolling resistance. Figure 1: Rolling Resistance and the most Influential Parameters Study in the area of rolling resistance has potential implications in the area of tyre management in surface mining. Tyre s remain a large cost in the operation of haul trucks, and are affected by rolling resistance in a number of ways. The build-up of heat in truck tyres is a leading cause of tyre degradation and is influenced by the rolling resistance experienced by the tyre. This accrual of heat can potentially lead to tyre failure, a costly and potentially dangerous event. Rolling resistance is influenced by a number of parameters, all of which can be placed into one of four groups of road, tyre, system and weather. Each of the parameters is also categorised as a Design (D), Construction (C), Operational (O) or Maintenance (M) parameter (Table 1). 2

Table 1 - Influential Parameters on Rolling Resistance Group Category * D C O M Parameter Rolling Resistance Road Tyre System Weather Roughness Defects Material Density Moisture Content Road Maintenance Tyre Penetration Tyre Diameter Tyre Pressure Tyre Condition Tyre Loading Tyre Temperature Truck Speed Driver Behaviour Humidity Precipitation Ambient Temperature * D:Design C:Construction O:Operational M:Maintenance An online survey was conducted to determine the most influential parameters on rolling resistance, based on the knowledge and experience of a number of professionals within the mining and haul road industries. 50 industry personnel were contacted with a 76% response rate. Of the personnel surveyed, 10% worked in the area of haul road planning, 30% in maintenance, 40% in design and 20% in operations. This survey allowed participants to estimate the influence of parameters identified as affecting rolling resistance. A score was assigned to each parameter between 0 and 100 representing the influence of a particular parameter on rolling resistance, where 0 is not influential and 100 is highly influential. The results of the survey show that tyre diameter has the lowest influence on rolling resistance with a result of 40%. Defects, Tyre Condition, Tyre Temperature, Driver Behaviour and Ambient Temperature were all given rankings of approximately 50%. Maintenance, Tyre Pressure and Truck Speed were all identified as having the greatest influence on rolling resistance, with scores between 80 and 90%. The remaining parameters all scored between 50 and 70% (Figure 2). 3

Parameter Score Selection area Influential Parameters on Rolling Resistance Figure 2: Survey Results 1- Road maintenance refers to the processes undertaken on mine haul roads, to repair defects and other road surface issues. It also refers to processes undertaken to reduce the probability of these defects occurring and increase the general quality of the road surface. The maintenance interval is determined by a number of factors including the mine plan, financial requirements and constraints, personnel availability and the quality/condition of a haul road. For this research, a dataset was obtained for several ramp and bench roads located in a single area of an open surface mine site, using a haul truck to test and obtain data. The data makes use of the maintenance interval or period, which refers to the amount of time between instances of road maintenance work, measured in days. The relationship between maintenance interval and rolling resistance for a specific mine site is illustrated in Figure 3. This figure shows that a larger period of time between maintenance instances results in increased rolling resistance 2. 4

Figure 3: Rolling Resistance vs. Road Maintenance Interval 2- Tyre Pressure is a tyre operational property, identified as being highly influential on rolling resistance. The tyre pressure is easily modified on a mine site and adjusted relatively easy. It should be noted that tyre pressure is not constant during truck operation, and is in fact affected by the temperature of the tyre. This temperature changes during normal truck operation and so affects the tyre pressure during material hauling. In this research all necessary data was obtained from a completed study on tyre pressure in France. The measurement conditions were in accordance with the ISO 8767 standards, which require a temperature of 25 degrees Celsius, tyre loading of 80% of the tyres maximum capacity and a speed of 80km/h. the results show that increasing tyre pressure effects in a decreased rolling resistance coefficient 3. This corresponds to a decrease in the rolling resistance at higher tyre pressures. The relationship is illustrated in Figure 4. 5

Figure 4: Rolling Resistance Coefficient vs. Tyre Pressure 3- Truck speed falls under a system operational property and refers to the speed at which the haul truck is travelling over the road surface. Truck speed is influenced by a number of different factors including the payload, road conditions, tyre condition, driver behaviour and the grade of the haul road. The results illustrated in Figure 5 were obtained for approximately 100 haul truck tyres, tested in The Technical University of Gdansk s drum facility. They were obtained for two differing drum surfaces, representative of smooth and rough road surfaces. The tyres tested consisted of a number of different brands and geometrical dimensions. The final results show that increasing truck speed results in an increased rolling resistance coefficient 4. The relationship was found to be the same for both rough and smooth road surfaces, and is illustrated in Figure 5. 6

Figure 5: Rolling Resistance Coefficient vs Truck Speed The survey and relationships discussed are useful when considering the efficiency with which haul trucks operate on open surface mines. Rolling resistance can be controlled on mine sites, especially when efforts are focused on the most influential parameters. It is recommended that haul road maintenance intervals be optimised in accordance with cost considerations to reduce rolling resistance. In relation to tyre pressure, it is clear that higher pressures result in lower rolling resistance. It is therefore recommended that tyre pressures be maintained in accordance with the manufacturer s recommendations. Lastly, increasing truck speed is linked to higher rolling resistance, and so lower truck speeds are desirable when only rolling resistance is considered. However, a number of other factors must be considered when choosing a suitable truck speed including safety requirements, cycle times and productivity requirements. All of these alterations will reduce rolling resistance, and be useful when considering further hauling operations and their efficiency. In addition to potential improvements in rolling resistance, this study aimed to identify opportunities to improve haul truck fuel efficiency. Rolling resistance is a major contributor to energy loss in hauling operations and is affected by numerous parameters. By identifying which of these parameters are the most influential on rolling resistance, the mining industry can focus its efforts on a smaller area of fuel efficiency improvements. In this project, a real mine site dataset collected from a large surface mine in central Queensland, Australia has been analysed. Figure 6 demonstrates the relationship between 7

maintenance interval and FCIndex. This relationship shows that a main solution for increasing the energy efficiency in haulage operation is decreasing the maintenance interval. This Figure also shows that by reducing the maintenance interval from 10 to 5 days, FCIndex will be decreased from 0.65 to 0.4 L/(hr.tonnes). This amount of fuel savings can be a great opportunity for mine managers to reduce their operational costs. Figure 6: Relationship between maintenance interval and FC Index Figure 7 illustrates the correlation between FCIndex and tyre pressure in different conditions. In this figure the relationship between haul truck fuel consumption and tyre pressure has been completed for a normal range of tyre pressures found for trucks in the studied surface mine. This relationship shows that by increasing the tyre pressure, FCIndex will be decreased sharply. Therefore, it is obvious that by a regular pressure check, increasing the fuel efficiency in haulage operations will be possible. 8

Figure 7: Correlation between FC Index and Tyre Pressure The effect of truck speed on FCIndex is illustrated in Figure 8. The non-linear correlation between FCIndex and truck speed shows that by increasing the speed, fuel consumption by the truck increases. This figure also shows that a valid approach for decreasing the fuel consumption is to decrease the total resistance, and in this case could be achieved by reducing rolling resistance. Figure 8: The effect of truck speed on FC Index 9

In summary the results of this project show indicate that there are a lot of energy efficiency opportunities in hauling operation by controlling effective parameters on rolling resistance. 1 AusIMM, Cost Estimation Handbook. 2012, Australasian Institute of Mining and Metallurgy, Australia. 2 Roger J Thompson, Alex T Visser, The impact of Rolling Resistance on Fuel, Speed and Costs. 2006, University of Pretoria, South Africa. 3 Data Obtained From - Michelin, C.T., the Tyre Rolling Resistance and Fuel Savings.2003, Society of Technology Michelin, France. 4 Data Obtained From- Sandberg, I., Rolling Resistance Basic Information and State-of the-art on Measurement Methods. 2011, Miriam, Sweden. 10