enhanced equipment design using edem co-simulation

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38 Australian Bulk Handling Review: July/August 2015 D uring operation, a wide range of aspects of equipment per- formance – from stresses on load arms, to the hydraulic forces, to the traction of the tyres and delivery of power – is dependent on the bulk material being handled. This article demonstrates how Discrete Element Modelling (DEM) simulation can be combined with other computer-aided engineering (CAE) methods – such as Finite Element Analysis (FEA) and Multi-Body Dynamics (MBD) – to provide engineers with enhanced insight into their equipment designs. Examples are provided for EDEM-Adams and EDEM-ANSYS co-simulation. The challenge of equipment design Understanding how a design will perform in a particular mate- rial environment is critical to ensuring an optimal design that combines strength and durability, with performance efficiency. Real bulk materials – such as gravel, clay, and mined ores – are complex in their behaviours. For some materials, like sand, moisture plays a significant factor in how they behave. One day they can be free-flowing but, after a heavy rain shower, may be- come highly cohesive and very difficult to handle. The variability and complex nature of materials means that it is very difficult for engineers to predict exactly how they will behave. FEA and MBD are commonly used simulation tools in the de- sign of heavy equipment and when using such tools an engineer has to tackle the problem of material loads head on. In order to iterate to the best possible design, an engineer needs to be able to define with confidence the material loads acting on their equipment and understand how these loads impact on the per- formance of the equipment. Traditional approaches to get representative load data in- clude hand calculations to approximate the load, reliance on prior experience, or assumption of the anticipated material be- haviour. However, because of the difficulty in predicting ma- terial behaviour using hand calculations and assumption, an engineer may only be able to assess a small set of conditions. One alternative to hand calculation methods is physical prototyping; however, such prototyping is typically expen- sive and time-consuming. As a result it is often reserved for late stage design assessment, rather than as a regular design iteration check. Enhanced design using EDEM co-simulation The landscape of the CAE market is evolving. Internet based soft- ware, off-site cloud computing resource, and pay-as-you-go meth- ods are on the rise and, increasingly, users are demanding that their CAE solutions can be found ‘in one place’. Compared to FEA and MBD, Discrete Element Modelling (DEM) is a relatively new CAE method, but it is one that provides engineers with the ability to simulate bulk material behaviour as part of their analysis. EDEM is a simulation tool based on DEM that provides engineers with the tools to create realistic mate- rial behaviours for a wide range of different material types. It provides the analysis tools needed to solve complex problems in the design and optimization of heavy equipment and is used by engineers around the world. Driven by the evolving demands on CAE and the material challenges faced by engineers designing heavy equipment, DEM Solutions has been working closely with other CAE companies to provide co-simulation solutions that combine the insight from EDEM with the powerful analysis of MBD and FEA methods. These co-simulation solutions give engineers the opportunity to reduce their reliance on hand calculations and assumption by instead using realistic material models and associated load pat- terns provided by EDEM. Enhanced equipment design using EDEM co-simulation Engineers designing heavy equipment are challenged on a daily basis by the complex nature of the material that their machines will face. SOFTWARE By David Curry, principal engineer, DEM Solutions Ltd In the design of heavy equipment, CAE tools such as FEA and MBD are commonly used. However, to use effectively, engineers need to understand what material loads are going to be applied during operation. Using EDEM-Adams co-simulation, engineers are able to combine realistic material behaviour with realistic system dynamics.

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Page 1: Enhanced equipment design using EDEM co-simulation

38 Australian Bulk Handling Review: July/August 2015

During operation, a wide range of aspects of equipment per-formance – from stresses on load arms, to the hydraulic

forces, to the traction of the tyres and delivery of power – is dependent on the bulk material being handled.

This article demonstrates how Discrete Element Modelling (DEM) simulation can be combined with other computer-aided engineering (CAE) methods – such as Finite Element Analysis (FEA) and Multi-Body Dynamics (MBD) – to provide engineers with enhanced insight into their equipment designs.

Examples are provided for EDEM-Adams and EDEM-ANSYS co-simulation.

The challenge of equipment designUnderstanding how a design will perform in a particular mate-rial environment is critical to ensuring an optimal design that combines strength and durability, with performance efficiency.

Real bulk materials – such as gravel, clay, and mined ores – are complex in their behaviours. For some materials, like sand, moisture plays a significant factor in how they behave. One day they can be free-flowing but, after a heavy rain shower, may be-come highly cohesive and very difficult to handle. The variability and complex nature of materials means that it is very difficult for engineers to predict exactly how they will behave.

FEA and MBD are commonly used simulation tools in the de-sign of heavy equipment and when using such tools an engineer has to tackle the problem of material loads head on. In order to iterate to the best possible design, an engineer needs to be able to define with confidence the material loads acting on their equipment and understand how these loads impact on the per-formance of the equipment.

Traditional approaches to get representative load data in-clude hand calculations to approximate the load, reliance on prior experience, or assumption of the anticipated material be-haviour. However, because of the difficulty in predicting ma-terial behaviour using hand calculations and assumption, an engineer may only be able to assess a small set of conditions.

One alternative to hand calculation methods is physical prototyping; however, such prototyping is typically expen-sive and time-consuming. As a result it is often reserved for late stage design assessment, rather than as a regular design iteration check.

Enhanced design using EDEM co-simulationThe landscape of the CAE market is evolving. Internet based soft-ware, off-site cloud computing resource, and pay-as-you-go meth-ods are on the rise and, increasingly, users are demanding that their CAE solutions can be found ‘in one place’.

Compared to FEA and MBD, Discrete Element Modelling (DEM) is a relatively new CAE method, but it is one that provides engineers with the ability to simulate bulk material behaviour as part of their analysis. EDEM is a simulation tool based on DEM that provides engineers with the tools to create realistic mate-rial behaviours for a wide range of different material types. It provides the analysis tools needed to solve complex problems in

the design and optimization of heavy equipment and is used by engineers around the world.

Driven by the evolving demands on CAE and the material challenges faced by engineers designing heavy equipment, DEM Solutions has been working closely with other CAE companies to provide co-simulation solutions that combine the insight from EDEM with the powerful analysis of MBD and FEA methods.

These co-simulation solutions give engineers the opportunity to reduce their reliance on hand calculations and assumption by instead using realistic material models and associated load pat-terns provided by EDEM.

Enhanced equipment design using EDEM co-simulation

Engineers designing heavy equipment are challenged on a daily basis by the complex nature of the material that their machines will face.

SOFTWARE

By David Curry, principal engineer, DEM Solutions Ltd

In the design of heavy equipment, CAE tools such as FEA and MBD are commonly used. However, to use effectively, engineers need to understand what material loads are going to be applied during operation.

Using EDEM-Adams co-simulation, engineers are able to combine realistic material behaviour with realistic system dynamics.

Page 2: Enhanced equipment design using EDEM co-simulation

EDEM-MBD co-simulation: dynamic system analysisDuring co-simulation with MBD codes, EDEM will calculate the mate-rial force and loads during a machine operation. These loads are then shared with the MBD code which uses this information to calculate the effect on the system dynamics of the equipment assembly. These motions are then fed back to EDEM and the process can continue.

In the example shown here, an excavator bucket is being simulated going through its digging cycle. All the motion is con-trolled by Adams (MSC Software) and the performance of the equipment is being evaluated for two different material types: one dry with low levels of cohesion, the other wet with high, sticky, cohesion levels. The excavation cycle has three stages: digging, rotating and unloading, and the material models for the EDEM simulation have come from DEM Solutions’ ‘Generic EDEM Material Model (GEMM) Database’.

The image shows the total pressure that is acting on the ex-cavator bucket during the loading cycle. Initially, the load is zero. As the bucket enters the material bed, the pressure on the bucket begins to increase. Due to the moisture content in the cohesive material, the pressure rises to a higher level than during the same period in the dry material.

As the excavator finishes the dig phase and moves to rotate away from the material bed, the pressure on the bucket decreas-es. During rotation of the boom arm, the cohesive wet material has a greater fill level and as a result there is greater pressure acting on the bucket.

By using EDEM as part of the usual MBD analysis, engineers here are able to understand how their design will perform when faced with different, challenging materials. It allows optimisa-tion of a design so that it will perform effectively across a range of different operating and site conditions.

EDEM-FEA case study: Austin EngineeringAustin Engineering designs and manufactures some of the world’s leading truck bodies for use in off-highway environ-ments. Each site where its equipment is deployed is different, and Austin Engineering has to customise its designs for each cli-ent to cope with the local environmental challenges and meet productivity require-ments. Optimised dura-bility and performance efficiency is key part of all Austin Engineering custom truck body de-signs. Physical prototyp-ing at this scale is expen-sive, and so each custom design needs to be tested virtually to guarantee performance at each site.

Austin Engineering deploys EDEM and AN-SYS software to evaluate each of their truck body designs. EDEM, with its re-alistic material simulation, provides engineers with accurate pressure distri-butions of material acting on their equipment. Then, using the ‘EDEM Add-In for ANSYS Workbench’, these loads are used as inputs into structural and fatigue analysis in ANSYS Mechan-ical for FEA analysis.

Using the EDEM Add-In, Austin Engineering performs exten-sive ‘what-if’ analysis of operational scenarios such as alternative tray loadings and cornering conditions (see images).

The EDEM Add-In for ANSYS Workbench enables Austin Engi-neering to improve the durability and performance of each truck body design. The realistic material loads from EDEM significantly improve accuracy compared to traditional approaches and mean truck body designs are strong, efficient and will perform in a range of operational conditions. Combining EDEM insight with ANSYS tools allows Austin Engineering to show their clients how a design will perform on-site, and ensure that their needs are met before it is sent for fabrication.

SummaryCo-simulation between CAE tools allows engineers to reduce the reliance on hand calculation and assumption when designing heavy equipment and address the challenges of how their equip-ment will perform when dealing with bulk materials.

The realistic loads provided by EDEM combined with the

39Australian Bulk Handling Review: July/August 2015

SOFTWARE

Using EDEM instead of hand calculations and guesswork allows engineers to broaden the operational conditions that can be reviewed, without the cost and time of physical prototyping.

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Page 3: Enhanced equipment design using EDEM co-simulation

Operational Condition 1: Flat-tray, centred loading. Engineers can inspect the stress distributions caused by the material load and understand the structural integrity of a design (Images courtesy of Austin Engineering).

structural and dynamic analysis capabilities of FEA and MBD tools, means that engineers are able to design with greater confidence and ensure that their designs are structurally sound, efficient and safe.

Co-simulation is becoming increasingly popular in the CAE mar-ket and by combining methods companies are able to enhance their equipment design process. This means benefits of shortened design times, lower costs through reduced prototyping, and the ability to provide optimal solutions to meet project requirements.

Real bulk materials are complex in their behaviour and to be able to make design decisions with confidence engineers

need to know that the virtual material they are simulating is linked with real world behaviours.

To enable engineers to access suitable material inputs quickly and easily, DEM Solutions has developed the GEMM Database. The GEMM Database is free to use and contains 1,000s of individ-ual material models for use in EDEM simulation.

To choose the materials they need, engineers need to answer three questions: • What is the bulk density of their material?• What is the size of their application?• What is the angle of repose of the material?

Based on these three questions the GEMM will provide engi-neers with the right material for the job.

40 Australian Bulk Handling Review: July/August 2015

Contact: www.dem-solutions.com

Contact: www.dem-solutions.com/gemm

SOFTWARE

The GEMM Database allows engineers to get all the inputs they need to match their material by answering three simple questions.

Operational Condition 2: Truck cornering with off centre loading, tray at 10 degrees. The flexibility of EDEM and ANSYS tools allow a range of operational conditions to be understood without requiring physical prototype testing (Images courtesy of Austin Engineering).

The GEMM database

“In Australia, ConveyorScience promotes the use of in-house developed programs to maximize the effectiveness of con-

veyor designs and operations,” explained Harrison.Harrison has spent over 30 years developing systems for

the remote monitoring of steel cord conveyor belts, includ-ing 20 years in the USA. At the same time, and in parallel, he has long worked more broadly on software aimed at con-veyor operators.

Harrison, a Conjoint Professor at the University of Newcastle, said that his software developments have evolved significantly over the past 15 years with improved coding platforms and inter-net availability.

“Today, cloud-based programming is becoming a norm, al-though dedicated software packages are still developed on in-house computers,” he said.

“Stand-alone applications and Apps are considered useful engineering tools in a modern IT environment. Applications involving static (running) belt design and associated dynamic analysis of conveyors have been published in numerous plac-es [1]. Stress analysis and repair of composite materials with damaged tensile reinforcement is also discussed in published literature [2].

Software for conveyors

Alex Harrison, best known to ABHR readers for his work in remotely accessible steel cord belt monitoring technology, has formed a new company in Australia called ConveyorScience Pty Ltd, which develops software applications for the mining and bulk handling sectors.

Figure 1. App for determining multiple-drive load sharing factors.

Figure 2. Converting site drive measurements to belt safety factor.