Short answer

Incorporate geometric analysis, specifically part volume, porosity, and height-intermittency interactions, into the design phase to predict and minimize FFF build times.

Field: Final Production
Source: Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2016)
Method: Analytical modelling and experimental validation
Evidence: Strong effect

A novel algorithm accurately estimates Fused Filament Fabrication (FFF) build times using simple geometric parameters, crucial for hybrid manufacturing process planning. This final production research insight is drawn from a 2016 study published in Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. Using Analytical modelling and experimental validation, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate geometric analysis, specifically part volume, porosity, and height-intermittency interactions, into the design phase to predict and minimize FFF build times.

Study

Final ProductionHigh ImpactStrong effect

Accurate Fused Filament Fabrication Build Time Estimation Algorithm Developed

A novel algorithm accurately estimates Fused Filament Fabrication (FFF) build times using simple geometric parameters, crucial for hybrid manufacturing process planning.

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · 2016

Key Findings

01Part volume significantly affects build time.
02The interaction between volume and porosity impacts build time.
03The interaction between part height and the intermittent factor influences build time.

Application

Design takeaway

Incorporate geometric analysis, specifically part volume, porosity, and height-intermittency interactions, into the design phase to predict and minimize FFF build times.

How to apply

Utilize the developed algorithm or similar geometric analysis techniques during the design phase to estimate and optimize FFF build times for complex parts or integrated manufacturing processes.

Project actions

01When designing a part for FFF, consider how its volume, internal structure (like infill density), and overall height might affect print duration.
02If exploring hybrid manufacturing, investigate how FFF build time estimation integrates with other process planning steps.

Method & Evidence

AimTo develop a novel and rigorous method for predicting the build time of Fused Filament Fabrication (FFF) processes, applicable to hybrid manufacturing.

MethodAnalytical modelling and experimental validation

ProcedureAn analytical model was developed to identify factors influencing FFF build time. This model guided the design of test parts and experiments. Experimental data was collected and analyzed to determine the significant factors affecting build time. Finally, an estimation algorithm was developed and validated using these factors.

ContextAdditive manufacturing, specifically Fused Filament Fabrication (FFF) within hybrid manufacturing environments.

Variables

IV["Part volume","Volume-porosity interaction","Height-intermittent factor interaction"]

DV["Build time"]

CV["FFF machine model","Material type","Layer height","Print speed (if not part of intermittent factor)"]

Strengths & Limitations

Strengths

+Development of a novel algorithm for FFF build time estimation.
+Validation through experimental results.
+Focus on geometric parameters for ease of use.

Limitations

The algorithm might not account for machine-specific calibration, filament quality variations, or complex support structure generation, which can also impact actual print times.

Reliability & validity

The study's reliability is supported by experimental validation. Validity is enhanced by focusing on key geometric factors directly obtainable from part designs, though it may be limited by the specific FFF technology and materials tested.

Think critically

How might the 'intermittent factor' be quantified and incorporated into a design process, and what are the potential trade-offs between minimizing this factor for speed versus maintaining print quality?

Design Principles

"Predictive geometric analysis is key to optimizing additive manufacturing cycle times."

Precise build time estimation in FFF is vital for optimizing production schedules, managing resources, and ensuring cost-effectiveness, especially within integrated additive and subtractive manufacturing processes. This algorithm provides designers and production engineers with a reliable tool for better planning and execution.

What This Means for Your Design

This research created a smart way to guess how long a 3D print will take using just the shape and size of the object, which is super helpful for planning production, especially when 3D printing is combined with other manufacturing methods.

How to use in your project

1.Reference this research when discussing the selection of manufacturing processes and the importance of accurate time estimation for production planning in your design project.

Add to My Project

Quick Cite

Paragraph starter

The development of predictive algorithms for additive manufacturing build times, such as the one proposed by Zhu et al. (2016) for Fused Filament Fabrication, highlights the critical role of geometric analysis in optimizing production. Their research established that part volume, and its interactions with porosity and height-related factors, significantly influence build duration, offering a method to estimate FFF times based on simple geometrical parameters. This is particularly relevant for hybrid manufacturing processes where accurate time estimation is essential for effective process planning and resource management.

Source

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture

A new algorithm for build time estimation for fused filament fabrication technologies

journal · 2016

View source

Questions About This Research

What does the research say about accurate fused filament fabrication build time estimation algorithm developed?: Incorporate geometric analysis, specifically part volume, porosity, and height-intermittency interactions, into the design phase to predict and minimize FFF build times. Evidence: Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2016).
Why does "Accurate Fused Filament Fabrication Build Time Estimation Algorithm Developed" matter for design?: Precise build time estimation in FFF is vital for optimizing production schedules, managing resources, and ensuring cost-effectiveness, especially within integrated additive and subtractive manufacturing processes. This algorithm provides designers and production engineers with a reliable tool for better planning and execution.
How can designers apply this research?: Incorporate geometric analysis, specifically part volume, porosity, and height-intermittency interactions, into the design phase to predict and minimize FFF build times.
What were the main findings?: Part volume significantly affects build time.. The interaction between volume and porosity impacts build time.. The interaction between part height and the intermittent factor influences build time.
What research method was used?: Analytical modelling and experimental validation.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2016 journal from Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture.
What should I do differently in my next project?: Utilize the developed algorithm or similar geometric analysis techniques during the design phase to estimate and optimize FFF build times for complex parts or integrated manufacturing processes.
What are the limitations?: The algorithm's accuracy may vary with different FFF machine models and material properties not explicitly accounted for in the model.