Proposal

Name:

Acquiring A Reverse Engineering System to Support Engineering Design and Innovation

FiscalYear:

2023

Audience:

Engineering and Computer Science, College of

Submitter:

Du, E

Budget Manager:

Biggs, Christopher

Project Manager:

Du, Sarah

Proposal Approvers

Dept. Chair:

Beaujean, Pierre-Philippe J

Local IT:

N/A

Dean:

Biggs, Christopher

Facilities:

N/A

OIT:

Bagdonas, Joseph A.

Proposal Funding

Year 1:

$ 22,328.00

Year 2:

$ 0.00

Year 3:

$ 0.00

Total:

$ 22,328.00

Proposal Funding versus Average

Questionnaire

Narrative
Reverse engineering (RE) plays an important role in product design and manufacturing processes. It allows engineering students to study existing products and parts (e.g., engineered, and natural) and learn from their design, through shape and dimensional acquisition. Specifically, RE in mechanical engineering through advanced computational models and digitizing technologies have been demonstrated in a variety of applications as stated below. Therefore, we propose to acquire an RE system that is critical to support engineering design and innovation for our engineering education and training. (a) Part testing and analysis. A 3D product can be captured in digital form and converted into computer models (e.g., Solidworks) for computer aided analysis using finite element analysis or computational fluidic dynamics (CFD). This application is useful in improving outcomes of the existing courses in the Department of Ocean and Mechanical Engineering, such as EGM 4350 (Finite Element Analysis Engineering Design), EML 6317 (Advanced Control Systems) and BME4100 (Biomaterials). (b) Design development and competitor analysis. The 3D models of parts and assembly can be remodeled to achieve improved design iterations and performance. This will significantly improve our Capstone design projects where our students work together in teams to design and produce a final project. During this process, students not only study existing designs but innovate designs that can address unmet needs in real-world problems. Courses will be impacted include EML 4521C and 4551 (Engineering Design I and II). (c) Research training in bioengineering. Course projects involving additive manufacturing rely on RE, which will also impact multiple research training activities in the field of biomimetics and biomedical technologies research, such as biorobotics, prosthetics, and computer modeling of surgical implants in multiple engineering research labs and at the Center for SMART Health.
Facilities
No
Hardware Requirements
1. EinScan HX Inspect Bundle Product# 6970163087429 The EinScan HX Inspect Bundle provides hybrid blue laser and LED light scanning for a wider range of object size compatibility, including additional finishing tools through Geomagic Control X software. https://www.dynamism.com/einscan-hx-inspectbundle.html 2. Precision 7780 Workstation Intel® Core™ i9-13950HX vPro® (36 MB cache, 24 cores, 32 threads, up to 5.5 GHz, 55 W) Windows 11 Pro, English, Brazilian Portuguese, French, Spanish NVIDIA RTX™ 3500 Ada 12GB GDDR6 64GB, 1x64GB 5200MT/s CAMM, non-ECC 1 TB, M.2 2280, Gen 4 PCIe NVMe, SSD https://www.dell.com/en-us/shop/dell-laptops/precision-7780-workstation/spd/precision-17-7780-laptop/s004p7780usvp
Software Requirements
Included in the EinScan bundle.
Personnel Costs
No.
Other Costs
No.
Timeline
1/1/2024 - 7/1/2024
Sustainability
This facility does not require maintenance beyond the installation stage. The license to the software is permanent.
Resource Matching
No.
Implementing Organization
Center for SMART Health

Proposal Budget

Fiscal Year 1 Fiscal Year 2 Fiscal Year 3 Total
Hardware One-Time $ 22,328.00 $ 0.00 $ 0.00 $ 22,328.00
Hardware Recurring $ 0.00 $ 0.00 $ 0.00 $ 0.00
Software One-time $ 0.00 $ 0.00 $ 0.00 $ 0.00
Software Recurring $ 0.00 $ 0.00 $ 0.00 $ 0.00
Personnel One-time $ 0.00 $ 0.00 $ 0.00 $ 0.00
Personnel Recurring $ 0.00 $ 0.00 $ 0.00 $ 0.00
Other One-time $ 0.00 $ 0.00 $ 0.00 $ 0.00
Other Recurring $ 0.00 $ 0.00 $ 0.00 $ 0.00
Totals $ 22,328.00 $ 0.00 $ 0.00 $ 22,328.00

Supporting Documentation

Filename Size Description
EinScan HX 3D Scanner Reverse Engineering Bundle by Shining3D _ Dynamism.pdf 7,247,066b Specifics of the RE system