

DEFINITIONS
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Additive Manufacturing: A process that creates objects by adding material layer by layer, often referred to as 3D printing.
AGV (Automated Guided Vehicle): A mobile robot that follows predetermined paths for transporting materials in a facility.
Analytics: The systematic computational analysis of data or statistics.
Artificial Intelligence (AI): The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
Big Data: Large and complex datasets that can be analyzed to reveal trends, patterns, and insights in manufacturing operations.
Bill of Materials (BOM): A comprehensive list detailing all the materials, parts, and components used in the manufacturing of a product.
Casting: An object made by pouring molten metal or other material into a mold.
CFD (Computational Fluid Dynamics): A branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems involving fluid flows.
Cobotics: Robots that work alongside people to assist them with their jobs.
Conceptualized Design: The design that is proposed in this report with the client’s design preferences built in.
Computer-Aided Design (CAD): Software used to create precise drawings and technical illustrations for product design.
Control System: A system designed to manage, command, direct, or regulate the behavior of other devices or systems using control loops.
Data Mining: The process of analyzing large datasets to identify patterns and relationships that inform decision-making.
Data Science: A multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
Design for Manufacturing Analysis (DFMA): An analysis when an engineer studies a design with “how to manufacture it” in mind.
Design Specifications: Key design features, components, or aspects needed to fulfill a client's quality objectives.
Digital Twin: A virtual representation of a physical asset or process used for simulation, analysis, and optimization.
Die Casting: A manufacturing process in which molten metal is forced into a mold cavity under high pressure to create a part or component.
Drilling: A machining process that uses a rotating tool to create cylindrical holes in a workpiece.
Edge Computing: Processing data near the source of data generation to reduce latency and bandwidth usage, enhancing real-time analytics.
Enclosure: A body or bodies that enclose around a design providing a protective barrier.
Fabrication Blueprints: Blueprints for manufacturing your design, usually two-dimensional with dimensions and fabrication information.
Final Product Design: The final design derived from the use of prototyping.
Finite Element Analysis (FEA): A numerical method for solving problems in engineering and mathematical physics.
Generative Design (GD): An iterative design process involving a program that generates outputs meeting specified constraints.
IM (Injection Molding): The process in which molten plastic is injected into a mold for creating parts or assemblies.
Infill: The amount and style of material placed on the interior of a 3D print for strength and durability.
Institute for Supply Management (ISM) Index: A monthly composite index based on surveys of purchasing managers in 20 manufacturing industries.
Interference: Volumes of overlapping material between bodies or components.
Lead Time: The amount of time taken to make a part, batch, or complete an order without shipping time included.
Lean Manufacturing: A production practice that considers the identification and elimination
of waste in manufacturing processes.
Machine Learning (ML): The study of algorithms that systems use to perform specific tasks without explicit instructions.
Machining: To make or operate on something with a machine.
Mass Manufacturing: The production of 1000 parts or more.
Manufacturing Execution System (MES): Software that monitors, tracks, and controls manufacturing processes in real-time.
Modular Design: A design practice that subdivides a system into smaller parts for independent development or replacement.
PCB (Printed Circuit Board): A board that supports and connects electrical components using conductive tracks.
Photorealistic Render: A simulated computer image of a 3D drawing that resembles a real photograph.
Post-Processing: The final stage of manufacturing operations where parts receive finishing touches.
Process Optimization: The practice of making adjustments to processes to improve their efficiency, reduce costs, and enhance quality.
Quality Assurance (QA): A systematic process to ensure that products meet predefined quality standards and specifications before delivery.
Quality Control (QC): Techniques and activities used to measure, maintain, and enhance the quality of products and processes.

ACRONYMS
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AI: Artificial Intelligence.
BOM: Bill of materials.
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CAD: Computer Aided Drafting.
CAM: Computer Aided Manufacturing.
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COM: Center of Mass.
CFM: Computational Fluid Dynamic.
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DFMA: Design for manufacturing analysis.
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FEA: Finite Element Analysis.
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GD: Generative Design.
HDPE: High Density Polyethylene Plastic (food safe plastic).
IDE: Integrated Developer Environment.
IM: Injection Molding.
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IOT: Internet of things.
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IIOT: Industrial Internet of things.
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ISM: Institute for Supply Management.
PMI: Purchasing Managers' Indexes.
PCB: Printed Circuit Board.
PP: Polypropylene plastic (food safe plastic).
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POC: Proof of Concept Prototype.
R&D: Research and Development.
ROI: Return on investment.
RPI: Raspberry Pi (microcomputer).
TIR: Total indicator runout.
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TPU: Thermoplastic polyurethane.
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USPTO: United States Patent and Trademark Office.
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SOURCES
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For those who are seeking more reference material please check the following links:
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