scholarly journals A quantum‐based diagnostics approach for additive manufacturing machine

2021 ◽  
Author(s):  
Vishal Sharma ◽  
Shantanu Gupta ◽  
Gaurav Mehta ◽  
Bhupesh K. Lad
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Machine

Additive Manufacture of Fibre-Reinforced Structures: Design Process and Principles

2019 ◽  
Author(s):  
Bradley Camburn ◽  
Elyud Ismail ◽  
K. Blake Perez ◽  
Carlye Lauff ◽  
Kristin Wood
Keyword(s):  
Additive Manufacturing ◽  
Matrix Representation ◽  
Normal Load ◽  
Design Principles ◽  
Additive Manufacture ◽  
Fiber Reinforced ◽  
Reinforced Composite ◽  
Comprehensive Survey ◽  
End Use ◽  
Manufacturing Machine

Abstract Fiber-reinforcement of structures built with additive manufacturing (AM) has been the focus of many recent innovations in the AM space. These innovations have further enabled AM’s progress from a prototyping technology to a viable manufacturing process for end use parts under normal load conditions. This paper introduces a set of design principles to drive innovation and the creation of novel AM technologies capable of producing fiber-reinforced components. The principles were developed through a comprehensive survey of the literature and patents to identify fundamental design insights that made the published achievements and innovations possible. From the collected body of insights, 23 unique design principles are identified. These principles are formalized and organized within the framework of a matrix representation, connecting established fiber-reinforced composite guidelines to specific sub-functions of AM. Finally, a fiber-reinforced additive manufacturing machine is developed by employing a subset of the identified principles as a demonstration of their utility.

Teaching Creativity As a Method to Overcome Limitations in Design for Additive Manufacturing

2020 ◽  
Author(s):  
Sergei Chekurov
Keyword(s):  
Additive Manufacturing ◽  
Teaching Approach ◽  
Major Influence ◽  
Design For Additive Manufacturing ◽  
Student Assignment ◽  
Entry Level ◽  
Material Extrusion ◽  
Teaching Design ◽  
Manufacturing Machine

Abstract This paper describes the challenges and solutions of modifying a normally contact-reliant Design for Additive Manufacturing teaching approach in view of the COVID-19 outbreak. The approach has been put into practice since 2014 in the form of a student assignment that does not provide a specific functional objective but asks students to invent a unique geometry that demonstrates the capabilities of additive manufacturing and manufacture it with an entry level material extrusion machine. The students are asked to use their imaginations to develop an intricate geometry without first considering technical limitations of additive manufacturing. They are then asked to identify the issues with their designs and solve them, while modifying their original vision as little as possible. The goal of the approach is to teach students to identify the limitations of additive manufacturing and to overcome them with creativity when possible. As physical iterative testing using an additive manufacturing machine is essential to the assignment, the outbreak of COVID-19 had a major influence on it. The paper describes how the assignment was adjusted in the spring of 2020 to meet the challenges of not being able to conduct contact teaching. Although the presented exceptional measures should be avoided as the primary way to educate students, they are shown to facilitate teaching Design for Additive Manufacturing with no access to machines. Notable designs developed by students in 2020 are provided as examples of the generated results.

Modeling of pneumatic valve dispenser for printing viscous biomaterials in additive manufacturing

2014 ◽  
Vol 20 (6) ◽  
pp. 434-443 ◽  
Author(s):  
Xiang Ren ◽  
Qingwei Zhang ◽  
Kewei Liu ◽  
Ho-lung Li ◽  
Jack G. Zhou
Keyword(s):  
Mathematical Model ◽  
Surface Tension ◽  
Additive Manufacturing ◽  
3D Printing ◽  
Surface Tension Coefficient ◽  
Design Rules ◽  
Content Type ◽  
Pneumatic Valve ◽  
Printing Machine ◽  
Manufacturing Machine

Purpose – The purpose of this paper is establishing a general mathematical model and theoretical design rules for 3D printing of biomaterials. Additive manufacturing of biomaterials provides many opportunities for fabrication of complex tissue structures, which are difficult to fabricate by traditional manufacturing methods. Related problems and research tasks are raised by the study on biomaterials’ 3D printing. Most researchers are interested in the materials studies; however, the corresponded additive manufacturing machine is facing some technical problems in printing user-prepared biomaterials. New biomaterials have uncertainty in physical properties, such as viscosity and surface tension coefficient. Therefore, the 3D printing process requires lots of trials to achieve proper printing parameters, such as printing layer thickness, maximum printing line distance and printing nozzle’s feeding speed; otherwise, the desired computer-aided design (CAD) file will not be printed successfully in 3D printing. Design/methodology/approach – Most additive manufacturing machine for user-prepared bio-material use pneumatic valve dispensers or extruder as printing nozzle, because the air pressure activated valve can print many different materials, which have a wide range of viscosity. We studied the structure inside the pneumatic valve dispenser in our 3D heterogeneous printing machine, and established mathematical models for 3D printing CAD structure and fluid behaviors inside the dispenser during printing process. Findings – Based on theoretical modeling, we found that the bio-material’s viscosity, surface tension coefficient and pneumatic valve dispenser’s dispensing step time will affect the final structure directly. We verified our mathematical model by printing of two kinds of self-prepared biomaterials, and the results supported our modeling and theoretical calculation. Research limitations/implications – For a certain kinds of biomaterials, the mathematical model and design rules will have unique solutions to the functions and equations. Therefore, each biomaterial’s physical data should be collected and input to the model for specified solutions. However, for each user-made 3D printing machine, the core programming code can be modified to adjust the parameters, which follows our mathematical model and the related CAD design rules. Originality – This study will provide a universal mathematical method to set up design rules for new user-prepared biomaterials in 3D printing of a CAD structure.

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