Integrated manufacturing process planning and control based on intelligent agents and multi-dimension features

Liu, Changqing; Li, Yingguang; Shen, Weiming

doi:10.1007/s00170-014-6246-0

Cited by 29 publications

(7 citation statements)

References 41 publications

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“…This makes the hole-making process on stacked structures remain a significant challenge. The emerging helical milling could be coupled with advanced automation/intelligent manufacturing technology [32][33][34] to minimize/eliminate the labor intensive and error-prone human operation. In addition, feature-based manufacturing parameter planning and optimization [35][36][37] could be considered in future aircraft holemaking processes to enhance accuracy, traceability and process control.…”

Section: Discussionmentioning

confidence: 99%

Hole-making processes and their impacts on the microstructure and fatigue response of aircraft alloys

Sun

Lemoine

Doyle

et al. 2016

Int J Adv Manuf Technol

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A comparative study on conventional drilling and helical milling has been reported under the context of aircraft alloy hole making. The impacts of these two different machining processes on the microstructures and the fatigue performance of different aircraft alloys have been elaborated. Results show that both alloys undergo more severe surface/subsurface plastic deformation under conventional drilling comparing to helical milling process. Helical milling leads to a longer coupon fatigue life compared to conventional drilling for both alloys. The fatigue life of Al 2024-T3 is significantly longer than that of Ti-6Al-4V under all machining conditions. The use of coolant generally produces less damaged surface and leads to enhanced fatigue performance of the machined alloys. In addition, the machined surface roughness has been studied to further elaborate the effects of different machining processes.

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Section: Discussionmentioning

confidence: 99%

Hole-making processes and their impacts on the microstructure and fatigue response of aircraft alloys

Sun

Lemoine

Doyle

et al. 2016

Int J Adv Manuf Technol

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show abstract

“…Tai et al (2013) developed an intelligent algorithm for matching supply and demand based on ontology semantic similarities considering demand attributes. Liu et al (2014) proposed an ontology-based multi-dimension manufacturing feature model to facilitate the communication and collaboration between process planning and control, as well as to speed up the decision-making of intelligent agents.…”

Section: Research Trajectories Using Author Abstractmentioning

confidence: 99%

Literature review on the ‘Smart Factory’ concept using bibliometric tools

Strozzi

Colicchia

Creazza

et al. 2017

International Journal of Production Research

392

292

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“…This flexible planning takes into account the availability of the shop floor resources and the objectives specified by the scheduler. The dynamic manufacturing environments require a flexible process planning and control system in response to changing manufacturing resource availability, production] uncertainty and dynamic machining conditions (Liu et al, 2014). The dynamic process planning system has the capability to determine and schedule appropriate monitoring tasks and enable the revision of process plan data based on real-time measurements.…”

Section: Static and Dynamic Process Planningmentioning

confidence: 99%

Novel dynamic CAPP system for hybrid additive–subtractive–inspection process

Abdulhameed

Al-Ahmari

Ameen

et al. 2018

RPJ

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Purpose Hybrid manufacturing technologies combining individual processes can be recognized as one of the most cogent developments in recent times. As a result of integrating additive, subtractive and inspection processes within a single system, the relative benefits of each process can be exploited. This collaboration uses the strength of the individual processes, while decreasing the shortcomings and broadening the application areas. Notwithstanding its numerous advantages, the implementation of hybrid technology is typically affected by the limited process planning methods. The process planning methods proficient at effectively using manufacturing sources for hybridization are notably restrictive. Hence, this paper aims to propose a computer-aided process planning system for hybrid additive, subtractive and inspection processes. A dynamic process plan has been developed, wherein an online process control with intelligent and autonomous characteristics, as well as the feedback from the inspection, is utilized. Design/methodology/approach In this research, a computer-aided process planning system for hybrid additive, subtractive and inspection process has been proposed. A framework based on the integration of three phases has been designed and implemented. The first phase has been developed for the generation of alternative plans or different scenarios depending on machining parameters, the amount of material to be added and removed in additive and subtractive manufacturing, etc. The primary objective in this phase has been to conduct set-up planning, process selection, process sequencing, selection of machine parameters, etc. The second phase is aimed at the identification of the optimum scenario or plan. Findings To accomplish this goal, economic models for additive and subtractive manufacturing were used. The objective of the third phase was to generate a dynamic process plan depending on the inspection feedback. For this purpose, a multi-agent system has been used. The multi-agent system has been used to achieve intelligence and autonomy of different phases. Practical implications A case study has been developed to test and validate the proposed algorithm and establish the performance of the proposed system. Originality/value The major contribution of this work is the novel dynamic computer-aided process planning system for the hybrid process. This hybrid process is not limited by the shortcomings of the constituent processes in terms of tool accessibility and support volume. It has been established that the hybrid process together with an appropriate computer-aided process plan provides an effective solution to accurately fabricate a variety of complex parts.

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Integrated manufacturing process planning and control based on intelligent agents and multi-dimension features

Cited by 29 publications

References 41 publications

Hole-making processes and their impacts on the microstructure and fatigue response of aircraft alloys

Hole-making processes and their impacts on the microstructure and fatigue response of aircraft alloys

Literature review on the ‘Smart Factory’ concept using bibliometric tools

Novel dynamic CAPP system for hybrid additive–subtractive–inspection process

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