Generation of safe tool-path for 2.5D milling/drilling machine-tool using 3D ToF sensor

Plapper, Peter

doi:10.1016/j.cirpj.2015.04.003

Cited by 19 publications

(4 citation statements)

References 25 publications

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“…Detecting the possibility of collisions and avoiding them have many applications in industry. Modern machines have sensors which are able to detect the collision, however, they leave the decision to the human operator and will stop the operation [10]. Optimization techniques have been widely used for generating safe trajectories for manipulators in the robotics industry.…”

Section: Litriture Reviewmentioning

confidence: 99%

A Novel Method for Achieving Minimum Distance Collision-free Tool Path for Drilling

Khodabakhshi¹,

Hosseini²,

Ghandehariun³

2020

Progress in Canadian Mechanical Engineering. Volume 3

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In recent years, many researchers have studied drilling tool path generation. Tool travelling time is a major portion of overall manufacturing time particularly in large scale items to be drilled. Nowadays, tool path is selected from a set of regular tool paths offered in CAM systems. These tool paths are mostly far from being the optimum path. In this paper, a new Travelling Salesman Problem (TSP) is utilized for generating a safe tool path in drilling processes. The developed optimization model can handle the objective function under multiple constraints, namely, returning to the tool origin rather than the initial hole to be drilled, considering all workpiece dimensions/corners for the initial position of the drill bit, as well as an obstacle constraint to generate a collision free trajectory. Performance of the proposed model is obtained for different initial tool positions on all corners of the workpiece. The results prove that the model can solve the problem in a timely manner and is able to generate an optimum safe path for tool traverse.

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Section: Litriture Reviewmentioning

confidence: 99%

A Novel Method for Achieving Minimum Distance Collision-free Tool Path for Drilling

Khodabakhshi¹,

Hosseini²,

Ghandehariun³

2020

Progress in Canadian Mechanical Engineering. Volume 3

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“…Increased demand for higher product variability and shorter cycle times within the manufacturing industry has paved the way for extensive research around dynamic decision-making support systems for existing products (Ahmad et al 2016;Ahmad and Plapper 2015), and increased application of Design for Excellence (DFX) methods for product design. Design for manufacturing (DFM) and Design for production (DFP) are two well-studied methodologies of DFX that involve cycle time analysis, where DFM aims to ensure the manufacturability of a component as per supplier's capability, while DFP involves evaluating manufacturing capacity and manufacturing time (Herrmann and Chincholkar 2000).…”

Section: Introductionmentioning

confidence: 99%

Investigating the effects of reduced technological constraints on cycle time through simulation modelling for automated steel wall framing

Malik

Al‐Hussein

2018

mocs

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Off-site construction constitutes a paradigm shift in construction promoting improved sustainability. At present, North Americaäó»s building construction sector is still dominated by conventional stick-built construction, which is prone to excessive material waste, longer cycle times, high labour costs, and lower quality. In contrast, inspired by the manufacturing industry, off-site construction is an approach in which building components are prefabricated in factories and transported to the construction site for on-site assembly. As the concept of off-site prefabrication gains momentum within the domain of construction, some home builders are bringing the traditional industry practice into a factory setting, thus resulting in stick-building- under-a-roof. This paper describes the development of simulation models for the automated light gauge steel framing process using discrete-event simulation mimicking real-time machine production capacity and cycle time. At present, the literature on the development of such models for automated construction machinery is lacking; in this context, this paper aims to showcase the advantages of simulation as a decision-making support tool. Construction of such models provides a useful tool for understanding bottlenecks in machine operations that can be addressed to meet local demands. Since the steel framing process primarily consists of manual assembly and fastening of cold-formed steel (CFS) frames, these models showcase the potential to increase the level of automation through the addition of various mechanical and control modifications to an existing prototype steel framing machine. The results show that cycle time reductions of 13 percent or greater are possible by applying the proposed modifications.

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“…3D vision systems are used in a wide range of manufacturing tasks, such as locating tools and parts, inspecting part geometry and checking alignment in assemblies. They are also widely used to give robots the ability to locate objects in their environment; this is useful for pick and place operations, assembly jobs and weld path following [1][2] [3].…”

Section: Introductionmentioning

confidence: 99%

Autonomous metrology for robot mounted 3D vision systems

et al. 2017

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Using a metrology system simulation approach, an algorithm is presented to determine the best position for a robot mounted 3D vision system. Point cloud data is simulated, taking into account sensor performance, to create a ranked list of the best camera positions. These can be used by a robot to autonomously determine the most advantageous camera position for locating a target object. The algorithm is applied to an Ensenso active stereo 3D camera. Results show that when used in combination with a RANSAC object recognition algorithm, it increased positional precision by two orders of magnitude, from worst to best case.

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Generation of safe tool-path for 2.5D milling/drilling machine-tool using 3D ToF sensor

Cited by 19 publications

References 25 publications

A Novel Method for Achieving Minimum Distance Collision-free Tool Path for Drilling

A Novel Method for Achieving Minimum Distance Collision-free Tool Path for Drilling

Investigating the effects of reduced technological constraints on cycle time through simulation modelling for automated steel wall framing

Autonomous metrology for robot mounted 3D vision systems

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