Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures (doi:10.18419/darus-3577)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Document Description

Citation

Title:

Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures

Identification Number:

doi:10.18419/darus-3577

Distributor:

DaRUS

Date of Distribution:

2024-03-28

Version:

1

Bibliographic Citation:

König, Timo, 2024, "Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures", https://doi.org/10.18419/darus-3577, DaRUS, V1, UNF:6:LRhHzlkFvUo/LckJmnuntQ== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures

Identification Number:

doi:10.18419/darus-3577

Authoring Entity:

König, Timo (Universität Stuttgart)

Date of Production:

2023-08-07

Grant Number:

258198676

Grant Number:

EXC 2120/1 - 390831618

Distributor:

DaRUS

Access Authority:

König, Timo

Access Authority:

Verl, Alexander

Depositor:

König, Timo

Date of Deposit:

2023-06-23

Holdings Information:

https://doi.org/10.18419/darus-3577

Study Scope

Keywords:

Engineering, Robot Path Planning, Clothoid, Coreless Fiber Winding

Abstract:

This dataset contains all the validation data that presented within the paper "Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures". This paper presents a spline path planning algorithm based on clothoids. This algorithm considers both the process requirements and the dynamic characteristics of the manufacturing unit. Furthermore, the algorithm is validated on a test contour and compared with established commercial methods. The test contour is not based on a specific structural element as it is usually manufactured but combines individual hallenging manufacturing situations in a systematic approach. The result is a contour that contains both sharp and slight changes in the tangent angle. A simulated Beckhoff TwinCAT controller (v3.1 Build 4024.11) is used as a reference system. This is a commercial industrial controller that is equipped with a CNC kernel and can be flexibly used for motion control of robots or machine tools. To compare the Cornuspline (CS), two programs were created to control the NC. In the first variant (NC1), the set points for the path are emulated from established methods. In the second variant (NC2), the set points are exactly on the arc along the curve. In both NC variants, the set points were connected via a B-spline function. The dataset contains three files with the position data for CS, NC1 and NC2.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

T. König, A. Verl and A. Lechler, "Cornuspline Path Planning Algorithm for the Fabrication of Coreless Wound Fiber-Polymer Composite Structures," IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, 2023, pp. 1-6.

Identification Number:

10.1109/IECON51785.2023.10312385

Bibliographic Citation:

T. König, A. Verl and A. Lechler, "Cornuspline Path Planning Algorithm for the Fabrication of Coreless Wound Fiber-Polymer Composite Structures," IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, 2023, pp. 1-6.

File Description--f287256

File: CS.tab

  • Number of cases: 108776

  • No. of variables per record: 2

  • Type of File: text/tab-separated-values

Notes:

UNF:6:W2YaeHvzw1TQaW9CpMLnqA==

File Description--f287257

File: NC1.tab

  • Number of cases: 11149

  • No. of variables per record: 2

  • Type of File: text/tab-separated-values

Notes:

UNF:6:/JToM5g8YBfUUk0nN51FYQ==

File Description--f287258

File: NC2.tab

  • Number of cases: 11118

  • No. of variables per record: 2

  • Type of File: text/tab-separated-values

Notes:

UNF:6:RsitnBjb+P2d2XDNucKO+w==

Variable Description

List of Variables:

Variables

x[mm]

f287256 Location:

Summary Statistics: Min. -39.9999995708648; Valid 108776.0; StDev 208.03396060549034; Mean 315.9044601214923; Max. 699.998927401905

Variable Format: numeric

Notes: UNF:6:brrpUj/zbA8fRnSqckRTow==

y[mm]

f287256 Location:

Summary Statistics: Min. -49.2847034964755; Valid 108776.0; StDev 67.31071211988663; Max. 160.007453639491; Mean 49.013534753986804;

Variable Format: numeric

Notes: UNF:6:HnFxFAROnGfpWy/eU8aFAg==

x[mm]

f287257 Location:

Variable Format: character

Notes: UNF:6:8twmGksVncMZBIJeZt4GYg==

y[mm]

f287257 Location:

Summary Statistics: Max. 160.025748903687; Valid 11149.0; Mean 54.50127260891368; StDev 56.29999772542238; Min. -40.3509189584261

Variable Format: numeric

Notes: UNF:6:wt7asLF0Z+qIZBvT6DKOWw==

x[mm]

f287258 Location:

Summary Statistics: Min. -40.0516388208217; Max. 700.0; Valid 11118.0; Mean 317.77149404654824; StDev 208.89294855672478

Variable Format: numeric

Notes: UNF:6:MIDklm5vmXkjpiBcdtYpHg==

y[mm]

f287258 Location:

Summary Statistics: StDev 73.30405674933903; Min. -55.6626696489026; Valid 11118.0; Mean 44.17601392482532; Max. 160.005997779159;

Variable Format: numeric

Notes: UNF:6:eIYWye2HQi5AvjTt7i3wPg==