A robotic cell for performing sheet lamination-based additive manufacturing

Bhatt, Prahar M.; Kabir, Ariyan M.; Peralta, Max; Bruck, Hugh A.; Gupta, Satyandra K.

doi:10.1016/j.addma.2019.02.002

Cited by 70 publications

(40 citation statements)

References 41 publications

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“…The process is low temperature, requires relatively little energy, can bond different materials, and is relatively low cost as it uses standard material. However it has many disadvantages including: (i) part resolution is linked to sheet thickness (ii) requires post-processing to achieve desired product, (iii) limited material options available, (iv) generates a lot of waste, (v) bonding strength depends on the laminating technique used [ 83 , 84 , 85 , 86 , 87 ]…”

Section: Classification Of Am Processesmentioning

confidence: 99%

Additive Manufacturing of Polymer Materials: Progress, Promise and Challenges

et al. 2021

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The use of additive manufacturing (AM) has moved well beyond prototyping and has been established as a highly versatile manufacturing method with demonstrated potential to completely transform traditional manufacturing in the future. In this paper, a comprehensive review and critical analyses of the recent advances and achievements in the field of different AM processes for polymers, their composites and nanocomposites, elastomers and multi materials, shape memory polymers and thermo-responsive materials are presented. Moreover, their applications in different fields such as bio-medical, electronics, textiles, and aerospace industries are also discussed. We conclude the article with an account of further research needs and future perspectives of AM process with polymeric materials.

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Section: Classification Of Am Processesmentioning

confidence: 99%

Additive Manufacturing of Polymer Materials: Progress, Promise and Challenges

et al. 2021

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“…[7,15,38,39] The open set-up of the basic LOM process can be put to use when adding further automatized working processes to it. For instance, Bhatt et al, [40] combined with LOM with robotic sheet manipulation processes (see Section 2.3), enabling the incorporation of prefabricated components into a multilayer stack or the combination of layers from multiple sheet materials. When comparing the characteristic values for the printing resolution from different AM techniques, LOM provides a printing resolution that can compete with all other techniques in addition to MJ ( Figure 2).…”

Section: Characteristics Of Lom In Regards To Other Am Techniquesmentioning

confidence: 99%

“…By including the prefabricated structures within robotic cell LOM multilayers, inclined faces and overhangs can be obtained without the need for support structures or a part partitioning step and an assembly step ( Figure 14). [40] Other fabrication techniques in addition to LOM, in addition to the robotic manufacturing cell, have been included within a US patent from 2015 by Feygin, founder of the former Helisys Corporation. [102] Some potential extensions to the LOM process mentioned in the patent are listed as follows: 1) the incorporation of a magnetized component within sheet materials, which may facilitate the waste removal during a magnetic separation step.…”

Section: Optional Process Optimizations For Lommentioning

confidence: 99%

“…[46] The more recent commercial LOM solutions target fiber-reinforced multimaterial composites, such as metal foils with fiber-reinforced polymer layers. [40,48] Companies, such as EnvisionTEC Inc. and Impossible Objects LLC, still active to the time this Review has been written, have promoted the more recent development of LOM parts consisting of thermoplastics and elastomers reinforced by multidirectionally oriented carbon fibers, glass fibers, or aramid fibers. In all the presented cases, the suppliers of LOM machines provided the raw materials for their machines, as well.…”

Section: Economic Viability and Market Potentialmentioning

confidence: 99%

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Laminated Object Manufacturing of Ceramic‐Based Materials

2020

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Since their inception, additive manufacturing (AM) techniques have been the go‐to methods for obtaining highly complex‐shaped rapid prototypes (RPs) and specialized parts, which were produced in small lot sizes. The AM technique of laminated object manufacturing (LOM) is an immensely convenient and cost‐effective method for quickly producing millimeter‐sized to meter‐sized parts, while incorporating micrometer‐sized constructive features. LOM machines offer an open work space, within which nontoxic and highly filled sheet materials can be processed at a high production velocity. The unique property profile of ceramic‐based materials from LOM may be indispensable for applications calling for materials that unite high temperature resistance, mechanical strength, and light weight. Optionally, local material functionalization may engender the electrical conductivity, chemical stability, ferroelectricity, radiation shielding, or filter membrane stability of a limited portion of the material. Herein, a detailed evaluation of the applicability of LOM in the near net shaping ceramic‐based materials is presented. Optional technical adjustments for the LOM process and extensions of the LOM machine configuration can improve the economic feasibility its operation. Previously successful LOM‐printed ceramic‐based materials are showcased within a comprehensive overview on the state of the art and potential novel composite materials are presented.

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“…Multi-robot systems are increasingly being used to automate complex missions. [1][2][3][4][5][6][7] Many such missions are collections of spatially separated tasks that are executed by multi-robot teams in parallel. Generally, these missions may encounter unexpected situations that can halt or alter mission tasks.…”

Section: Introductionmentioning

confidence: 99%

Modeling and verification of contingency resolution strategies for multi-robot missions using temporal logic

Shriyam

Gupta

2019

International Journal of Advanced Robotic Systems

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This article presents an approach for assessing contingency resolution strategies using temporal logic. We present a framework for nominal mission modeling, then specifying contingency resolution strategies and evaluating their effectiveness for the mission. Our approach focuses on leveraging the use of model checkers to the domain of multi-robot missions to assess the adequacy of contingency resolution strategies that minimize the adverse effects of contingencies on the mission execution. We consider missions with deterministic as well as probabilistic transitions. We demonstrate our approach using two case studies. We consider the escorting of a ship in a port where multiple contingencies may occur concurrently and assess the adequacy of the proposed contingency resolution strategies. We also consider a manufacturing scenario where multiple assembly stations collaborate to create a product. In this case, assembly operations may fail, and human intervention is needed to complete the assembly process. We investigate several different strategies and assess their effectiveness based on mission characteristics.

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A robotic cell for performing sheet lamination-based additive manufacturing

Cited by 70 publications

References 41 publications

Additive Manufacturing of Polymer Materials: Progress, Promise and Challenges

Additive Manufacturing of Polymer Materials: Progress, Promise and Challenges

Laminated Object Manufacturing of Ceramic‐Based Materials

Modeling and verification of contingency resolution strategies for multi-robot missions using temporal logic

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