Overview
1. Clarify Simulation Workflow and Stages
Add a brief workflow outline (numbered or bulleted) detailing the simulation pipeline, such as:
1. Geometry creation in DesignModeler/SpaceClaim
2. Material property assignment (e.g., temperature-dependent thermal conductivity)
3. Meshing strategy (element size, refinement near heat source)
4. Thermal simulation (heat source modeling, time steps)
5. Coupled structural analysis
6. Post-processing (residual stress visualization and analysis)
This structure improves readability, reproducibility, and shows a rigorous approach.
2. Expand on Material Modeling and Thermal Properties
· Specify whether temperature-dependent material data (e.g., specific heat, thermal conductivity, yield strength) are included.
· Indicate whether latent heat of fusion or phase transformation behavior is simulated.
· Clarify if plasticity models, such as bilinear isotropic hardening, are used for post-yield stress simulation.
3. Define Heat Source Modeling More Clearly
· State the type of heat source model used (e.g., moving Gaussian heat flux model).
· Provide key parameters such as beam diameter, power, scanning speed, and absorption efficiency.
· If using a layer activation method, explain how layers are thermally activated in time steps.
This shows mastery of simulation fidelity and realism.
4. Address Mesh Strategy and Convergence
· Mention if hexahedral or tetrahedral elements are used and in which regions mesh is refined.
· Include a plan to conduct mesh sensitivity analysis to ensure accuracy and avoid computational overhead.
· Define element size ranges and how they were determined.
5. Justify Parametric Study Variables
· Define what build orientations (e.g., 0°, 45°, 90° to build plate) and scan strategies (e.g., zigzag, spiral, chessboard) will be compared.
· Justify why these configurations were selected based on literature trends or industry practice.
7. Plan for Model Validation
· Add that results will be validated against published stress profiles from peer-reviewed studies (e.g., Denlinger et al., 2015).
· If access to experimental data is limited, explain how the trends, rather than exact values, will be compared with literature.
Portfolio 3 is wrong. You should have your DRAFT in portfolio 3, normally 10 to 15 pages
Portfolio 2
Evaluation of methodology should be revised as below
1. Structure the Simulation Process More Clearly
it would benefit from a more structured breakdown of the simulation workflow. Consider presenting the process in clear, sequential steps—such as geometry setup, meshing, material assignment, thermal loading, structural coupling, and post-processing. This enhances readability and supports reproducibility.
2. Provide More Detail on Material Properties
Currently, you reference the use of Ti-6Al-4V but do not elaborate on the specific material models used in ANSYS. It's important to clarify whether temperature-dependent properties (thermal conductivity, specific heat, yield strength, etc.) are considered, and whether plasticity, phase transformation, or thermal expansion behavior is modeled. This detail is essential for demonstrating simulation accuracy and realism.
3. Expand on Heat Source Modeling
The methodology briefly mentions thermal inputs from laser or electron beams but lacks detail on how these are modeled. Please specify:
The type of heat source model (e.g., moving Gaussian).
Parameters such as beam power, scan speed, and absorption efficiency.
How layer-wise heating and element activation are implemented.
4. Clarify the Parametric Study Scope
You mention a parametric study involving build orientation and scan strategy, which is a strong aspect of your work. However, it would be useful to define:
The specific values or configurations to be tested (e.g., 0°, 45°, 90° orientations).
The criteria used to evaluate outcomes (e.g., peak residual stress, distortion levels).
5. Include a Plan for Validation or Benchmarking
At present, the methodology does not mention how simulation results will be validated. While experimental work may be beyond scope, you should consider comparing your simulation outcomes with:
Published results from the literature.
Known case studies or benchmark problems.
6. Acknowledge Assumptions and Limitations
For completeness and academic integrity, you should briefly discuss key assumptions in your model (e.g., ideal layer bonding, neglecting microstructure evolution, or simplified boundary conditions). This will show awareness of the limitations and help contextualize the results.