In Computer-Aided Geometric Design (CAGD), developable surfaces have been the main topic of interest among researchers due to their practicality and cost-effectiveness. This intriguing surface is essential for creating various inventive and aesthetic surface designs in the engineering and architecture sectors. In this paper, the enveloping developable surfaces constructed using quintic trigonometric Bézier basis functions with shape parameters will enhance the adjustability of the surfaces without modifying their initial control points. The developability of generated enveloping developable surfaces will be evaluated and compared using various approaches which are differential geometry and algebraic invariants. Moreover, the Root Mean Square Error (RMSE) is computed and graphical plots are also presented to support the findings. In conclusion, the shape parameters provide adjustability in constructing enveloping developable surfaces. The result of this research also revealed that enveloping developable quintic trigonometric Bézier surface with shape parameters has higher developability. Besides that, the differential geometry approach outperforms the algebraic invariants method. Therefore, the main significance of this study is to boost a higher surface developability of enveloping developable surfaces which can be obtained using quintic trigonometric Bézier basis functions with the aid of shape parameters.

1.
M.
Misro
,
A.
Ramli
, and
J.
Ali
,
Sains Malaysiana
46
,
825
831
(
2017
).
2.
S. B. Z.
Adnan
,
A. A. M.
Ariffin
, and
M. Y.
Misro
, in
AIP Conference Proceedings
, Vol.
2266
(AIP Publishing LLC,
2020
) p.
040009
.
3.
M.
Misro
,
A.
Ramli
, and
J.
Ali
, in
AIP conference proceedings
, Vol.
1974
(AIP Publishing LLC,
2018
) p.
020089
.
4.
V.
Bulut
,
Journal of the Brazilian Society of Mechanical Sciences and Engineering
43
,
1
14
(
2021
).
5.
V.
Bulut
,
Concurrency and Computation: Practice and Experience
34
,
e6493
(
2022
).
6.
M.
Ammad
and
M. Y.
Misro
,
Symmetry
12
,
1205
(
2020
).
7.
S. P.
Lim
and
H.
Haron
,
Artificial Intelligence Review
42
,
59
78
(
2014
).
8.
G.
Hu
and
J.
Wu
,
Advances in Engineering Software
138
,
102723
(
2019
).
9.
C.
Li
and
C.
Zhu
,
Mathematics
8
,
402
(
2020
).
10.
D. R.
Garcia
,
B. S.
Linke
, and
R. T.
Farouki
, in
2nd International Conference of the DFG International Research Training Group 2057– Physical Modeling for Virtual Manufacturing (iPMVM 2020)
(
Schloss Dagstuhl-Leibniz-Zentrum für Informatik
,
2021
).
11.
M.
Iri
,
Y.
Shimakawa
, and
T.
Nagai
,
Nonlinear Analysis-Theory Methods and Applications
47
,
5585
5598
(
2001
).
12.
S.
Fujita
and
M.
Ohsaki
,
J. Struct. Constr. Eng., AIJ
74
,
841
847
(
2009
).
13.
S.
Fujita
and
M.
Ohsaki
,
International Journal of Space Structures
25
,
143
157
(
2010
).
14.
G.
Hu
,
X.
Zhu
,
X.
Wang
, and
G.
Wei
,
Knowledge-Based Systems
254
,
109615
(
2022
).
15.
O.
Stein
,
E.
Grinspun
, and
K.
Crane
,
ACM Transactions on Graphics (TOG)
37
,
1
14
(
2018
).
16.
M.
Ammad
,
M. Y.
Misro
,
M.
Abbas
, and
A.
Majeed
,
Mathematics
9
,
283
(
2021
).
17.
G.
Hu
,
H.
Cao
, and
X.
Qin
,
Mathematical Methods in the Applied Sciences
41
,
7804
7829
(
2018
).
This content is only available via PDF.
You do not currently have access to this content.