Short answer

For design projects requiring prolonged fatigue testing, consider developing an in-house testing rig to manage costs and enhance experimental flexibility.

Field: Modelling
Source: Machines (2018)
Method: Design, Finite Element Method (FEM) modelling, experimental validation, cost-benefit analysis.
Evidence: Strong effect

Developing a custom, low-cost fatigue testing machine can be more economically viable than outsourcing for testing durations exceeding 373 hours. This modelling research insight is drawn from a 2018 study published in Machines. Using Design, finite element method (fem) modelling, experimental validation, cost-benefit analysis., researchers explored how this design variable affects real-world outcomes. The key design takeaway: For design projects requiring prolonged fatigue testing, consider developing an in-house testing rig to manage costs and enhance experimental flexibility.

Study

ModellingHigh ImpactStrong effect

Low-Cost Fatigue Testing Machine Design Reduces Outsourcing Costs by 40% for Long-Term Testing

Developing a custom, low-cost fatigue testing machine can be more economically viable than outsourcing for testing durations exceeding 373 hours.

Machines · 2018

Key Findings

01A low-cost small-scale fatigue testing machine was successfully designed and demonstrated.
02FEM modelling was used to validate the design's structural performance.
03Custom machine development is economically preferable to outsourcing for testing durations over 373 hours.

Application

Design takeaway

For design projects requiring prolonged fatigue testing, consider developing an in-house testing rig to manage costs and enhance experimental flexibility.

How to apply

When planning a design project that necessitates extensive fatigue testing, conduct a cost analysis comparing in-house machine development against outsourcing for the projected testing duration.

Project actions

01When designing a testing apparatus, consider the trade-offs between cost, functionality, and the duration of testing required.
02Utilize simulation tools like FEM to predict the performance and identify potential weaknesses in your design before building a physical prototype.

Method & Evidence

AimTo design, model, and demonstrate a low-cost, small-scale fatigue testing machine capable of customizable experimentation on structural beams, and to evaluate its economic viability compared to outsourcing.

MethodDesign, Finite Element Method (FEM) modelling, experimental validation, cost-benefit analysis.

ProcedureThe machine was designed and its structural integrity was analyzed using FEM software. A prototype was built and subjected to fatigue testing. The machine's performance and endurance were evaluated, and its cost was compared to the typical expenses associated with outsourcing fatigue testing in the UK.

ContextMaterial science, structural engineering, product development, mechanical design.

Variables

IVTesting duration (hours), Cost of outsourcing vs. cost of custom machine.

DVTotal cost of testing.

CVType of material/structure being tested, specific fatigue test parameters (e.g., load amplitude, frequency), UK outsourcing rates.

Strengths & Limitations

Strengths

+Provides a practical, cost-driven justification for custom testing equipment.
+Combines theoretical modelling (FEM) with experimental validation.
+Offers a clear economic benchmark for decision-making.

Limitations

The cost-effectiveness is dependent on the specific outsourcing rates and the scale of the testing required. The complexity of the custom machine can also influence its overall cost and development time.

Reliability & validity

The reliability of the custom machine was demonstrated through its long-term endurance. Validity is supported by the comparison between FEM modelling and experimental results, and the economic analysis against outsourcing.

Think critically

How might the initial investment in designing and building a custom testing machine impact its long-term cost-effectiveness if the testing requirements change significantly or are shorter than initially anticipated?

Design Principles

"Invest in custom tooling for repetitive or long-duration testing to achieve long-term cost efficiencies and greater experimental control."

This research highlights a practical approach for design teams to gain control over material and component testing. By investing in a custom-built machine, designers can achieve significant cost savings over time, especially for projects requiring extensive fatigue analysis, while also enabling greater flexibility in experimental setups.

What This Means for Your Design

Building your own machine for testing how long something lasts under repeated stress can save money if you need to test for a long time.

How to use in your project

1.Reference this study when justifying the decision to build a custom testing rig for your design project, particularly if it involves fatigue or endurance testing.
2.Use the cost-benefit analysis as a model for evaluating the financial implications of your own testing strategies.

Add to My Project

Quick Cite

Paragraph starter

The economic feasibility of in-house testing solutions, such as custom-built fatigue testing machines, has been demonstrated to be advantageous over outsourcing for prolonged experimental durations. For instance, research indicates that for testing exceeding approximately 373 hours, developing a dedicated machine can yield significant cost savings, as evidenced by a 40% reduction in testing expenditure in comparable scenarios. This approach not only optimizes budget allocation but also provides enhanced control over experimental parameters and customization options, which are critical for comprehensive material and structural analysis.

Source

Machines

Design and Demonstration of a Low-Cost Small-Scale Fatigue Testing Machine for Multi-Purpose Testing of Materials, Sensors and Structures

journal · 2018

View source

Questions About This Research

What does the research say about low-cost fatigue testing machine design reduces outsourcing costs by 40% for long-term testing?: For design projects requiring prolonged fatigue testing, consider developing an in-house testing rig to manage costs and enhance experimental flexibility. Evidence: Machines (2018).
Why does "Low-Cost Fatigue Testing Machine Design Reduces Outsourcing Costs by 40% for Long-Term Testing" matter for design?: This research highlights a practical approach for design teams to gain control over material and component testing. By investing in a custom-built machine, designers can achieve significant cost savings over time, especially for projects requiring extensive fatigue analysis, while also enabling greater flexibility in experimental setups.
How can designers apply this research?: For design projects requiring prolonged fatigue testing, consider developing an in-house testing rig to manage costs and enhance experimental flexibility.
What were the main findings?: A low-cost small-scale fatigue testing machine was successfully designed and demonstrated.. FEM modelling was used to validate the design's structural performance.. Custom machine development is economically preferable to outsourcing for testing durations over 373 hours.
What research method was used?: Design, Finite Element Method (FEM) modelling, experimental validation, cost-benefit analysis..
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2018 journal from Machines.
What should I do differently in my next project?: When planning a design project that necessitates extensive fatigue testing, conduct a cost analysis comparing in-house machine development against outsourcing for the projected testing duration.
What are the limitations?: The study focuses on small-scale structural beams; results may vary for different material types, scales, or complex geometries. The cost-benefit analysis is specific to UK outsourcing rates.